Youth binge drinking - 1621 Words

To what extent is youth violence, crimes and anti-social behaviour linked to youths binge drinking. Binge drinking can be defined as an excessive consumption of alcohol within a short period of time to get drunk. This essay will focus on how youth violence, crime and anti-social behaviour is linked to youths binge drinking. It is widely known that the youths in United Kingdom start drinking at an early stage of their lives. Talbot and Crabbe (n.d.) state that â€Å"government statistics suggest that†¦ the amount of alcohol consumed by younger adolescents aged 11-13 continues to climb.† Underage drinking is linked to binge drinking as youths are not mature and responsible enough to think of the consequences. BBC News (2003) mentioned that â€Å"A†¦show more content†¦It is also known that regretful sexual activity is a leverage of youths heavy drinking. An article by The Christian Institute (2011) expresses the concern of youths engaging in alcohol-fuelled sex. The article states that â€Å"those binge drinking three or more times a week were over five times m ore likely than non-binge drinkers to have had sex they regretted following alcohol†. It was also suggested that it is time for ministers should have a stricter attitude towards youths binge drinking. The article goes on to declare that the government has failed to control the issue of youths misusing alcohol. Having considered all of the points above, there are arguments about youth violence, crime and anti-social behaviour not relating to binge drinking. It is common for youths to go through a rebellious phase. During the stage of rebellion, crimes will be committed due to peer pressure or low family income. A report by Taylor (2003) claims that street robberies were urged on by the fear of youths being left out and bullied. This suggests that young people are very affected by how they are perceived in the eyes of other individuals which instigate them to commit crime. A research by Jacobson and Kirby (2012) mentions that lack of discipline was evidently the root to youth crimes. The research also mentions that boredom asShow MoreRelated binge drinking Essay993 Words   |  4 Pages What Causes Binge Drinking nbsp;nbsp;nbsp;nbsp;nbsp;Binge Drinking is an intriguing phenomenon that many college students take part in all across the country. The issue of binge drinking has been a problem on college campuses for decades. Binge drinking has many horrible effects, but the problem starts with the causes for it. If the causes could be controlled then the issue would not get out of hand. Many college students give different causes for their drinking problems, and experts on theRead MoreThe Problem Of Binge Drinking1039 Words   |  5 PagesDrinking is often a social situation for many people, one that can create a light and fun atmosphere. Unfortunately, too many people transform social drinking into an opportunity for binge drinking. And this is a major problem: people who regularly binge drink are at a much higher risk for developing alcoholism. Understanding this problematic behavior can help you understand whether or not you are at risk of developing a true alcohol addiction. Binge Drinking Definition The definition of binge drinkingRead MoreWhy Lowering The Drinking Age Is A Good Idea?. Lowering1627 Words   |  7 Pagesthe Drinking Age is a Good Idea? Lowering the drinking age to 18 in the United States has been a source of controversy in recent years. It has been a controversial topic because many people disagree, while many agree with the topic. For example, the people who disagree and are against lowering the drinking age to 18 believe we should not lower the drinking age because 18 year old individuals are not responsible enough to drink alcohol. While, the people who agree we should lower the drinking ageRead More18 vs. 21: Drinking Age1389 Words   |  6 PagesWhy do people only want to change the drinking age from 21 to 18, when there are other activities that have limit of age such as marriage at 18, driving at 16 and 35 to be a president? Alcohol plays a major role in today society, which becomes a controversial issue among teens. Alcohol is a mind-altering chemical that is potentially more dangerous than any other drug and can be very destructive. For past few years, many people are trying to lower the drinking age w ithout knowing the negative effectsRead MoreThe Effects Of Drinking On College Students1225 Words   |  5 PagesDuring the day and age of being a youth, it is very common to make decisions without thinking and not understanding the risks that come with them. Alcohol has been a major influence on college students and many of these students are unaware of the damage that is being caused by abusing it. What students in this age group do not understand is that their brain is still developing slowly and this process does not finish until they reach adulthood. Drinking can have harmful effects on the developmentRead MoreAlcohol Consumption Among Youth Is Not A New Issue Essay1085 Words   |  5 Pages1. Introduction Alcohol consumption amongst youth is not a new issue – New Zealand has a long standing history of alcohol consumption both good and bad. In New Zealand, as is also around the world, the consumption of alcohol has baggage both good and bad. It is seen on a positive note as a social enabler, it allows oneself to let their guard down a bit and feel at ease in situations out of their normal comfort zones, however to every story there is also a flip-side, and this is the idea that alcoholRead MoreSadly, In Today’S Society There Is A Lot Of Issues Concerning1294 Words   |  6 Pageshave drunk alcohol in the last month, and 23.5 percent of high school sophomores have also drunk in the last month. Among high school students within the month they were surveyed, 35 percent drank some type of alcohol, 21 percent participated in â€Å"binge drinking† which is consuming more than 5 alcoholic beverages in one day. 22 percent had ridden in someone’s car who was under t he influence of alcohol consumption, and 10 percent operated a vehicle after consuming alcohol. We are talking about high schoolRead MoreEssay on Effects of Alcohol Advertisements on Youth1149 Words   |  5 Pages â€Å"Two teens dead and another hospitalized after a single car crash and police say that drinking and driving was the cause,† the news reporter continued. â€Å"Fifteen is no age to die!† Will exclaimed. â€Å"Fifteen is no age to drink and drive either,† added Oskar. â€Å"What persuades these ‘little doves’ to drink?† Susan asked. â€Å"I would blame the alcohol advertisements for that,† answered Oskar. â€Å"Hahaha....are you out of your mind? How can advertisements persuade someone to drink? You can surely think of somethingRead MoreEffects Of Alcohol Consumption On The Uk1630 Words   |  7 PagesAlcohol consumption in the UK has a clear tradition of having moderate and heavy drinking as seen in Plant and Plant s (2006) analysis of trends in alcohol consumption. It is also notable that most concerns about levels of alcohol consumption is directed particularly towards young people which most consider to be a link to crime and anti-social behaviour. As a result, there is no denying that a stigma has been attached to young people and alcohol. In the UK, general consumption is on a rise. DataRead MoreThe Psychological Effects Of Adolescent Substance Abuse1469 Words   |  6 Pagesis published by the CDC titled â€Å"Fact Sheets - Underage Drinking† states that among adolescents, alcohol is one of the most commonly abused substances, more â€Å"than tobacco and illicit dr ugs.† The CDC reports that nearly 4,000 annual deaths are related to underage alcohol abuse. The article also reports that over 11% of alcohol consumed in the United States is consumed by people between the ages of 12 and 20 and 90% of that is consumed by binge drinks. Adolescents also drink more per occasion than adult

Is Abortion The Right Choice - 2356 Words

Is abortion the right choice? What is life to you? Is it being alive or not even having the chance to be alive? The simple word abortion sets off so many numerous sparks. Some of these sparks cause serious problems. Whether a person agrees or does not agree with it, there will always be problems with that word. Only a certain amount of states protect abortions. Whether or not the state protects the law about abortion, a woman will have major and minor effects after having an abortion. Abortion is destroying the life of an innocent human being who doesn’t even have a chance at life. What is abortion? Abortion is the removal of an embryo or fetus from the uterus of a woman. It is removed surgically or from a pill. An abortion is the safest surgical procedure done a woman. Most women do not have any complications after having an abortion. Abortion are legal is most states, there are just different rules. Abortions are considered safe, but some may have complications. Roe vs. Wade went in the court to support women’s rights. So now all states look at that first. Most abortions are done in the first trimester. Abortions are very rare in the second trimester. â€Å"Abortion creates tension between two human rights: the right to life of embryo or fetus and the autonomy of the pregnant woman (a basic component of the right to freedom). (Ndes) Abortion back then was not a major legal issue. Around the world abortion has become much safer than it was back then. More than half ofShow MoreRelatedIs Abortion Not The Right Choice?856 Words   |  4 PagesOver one h undred potential complications have been associated with induced abortion. â€Å"Minor† complications include: minor infections, bleeding, fevers, chronic abdominal pain, gastro-intestinal disturbances, vomiting, and Rh sensitization. The nine most common â€Å"major† complications which are infection, excessive bleeding, embolism, ripping or perforation of the uterus, anesthesia complications, convulsions, hemorrhage, cervical injury, and endotoxic shock Many women believe this is the only wayRead MoreAbortion Is The Right Choice1319 Words   |  6 Pages ABORTION RHETORICAL ANALYSIS ABSTRACT Abortion is one of the most controversial issue worldwide. According to anti-abortionist people, there are people who tend to make â€Å"bad choices† look good when trying to decide what would be the best decision to an unwanted pregnancy. Both the Pro-Abortion and Pro-Life are being discussed from two different perspectives towards abortion. Anti-Abortionist people disagree with abortion due to their own beliefs. On the other hand, people believe womenRead MoreThe Right And Choice Of Abortion1640 Words   |  7 PagesFons English 2B May 19, 2017 The Right to Life or Choice The decision to end the life of someone without their own consent has caused great disruption among Americans. Before the civil rights movement, Americans idealized the idea that abortion was ultimately prohibited due to the fact that religion predominated the beliefs of the people. Now in a rapid changing-liberal society, people are questioning if prohibiting a woman from aborting is denying her inalienable right of freedom as listed under theRead MoreAbortion : Which Choice Is The Right Choice? Essay2039 Words   |  9 PagesAbortion: Which Choice is the Right Choice? Abortion – the deliberate termination of a pregnancy, most often performed within the first 28 weeks of pregnancy – has become a widespread and controversial subject, especially within the United States recently. This particular scenario most commonly takes place due to social, religious and economic factors. Abortion also carriages a moral, social, and medical dilemma that face many, which goes on to create an emotional and violent atmosphere for allRead MoreEssay about Pro-Choice Supports the Womans Right to Abortion699 Words   |  3 PagesAbortion One of the biggest controversies of all time has been abortion; countless people consider it sinful and even believe it to be murder. The definition of abortion is; â€Å" the premature termination of pregnancy by spontaneous or induced expulsion of a nonviable fetus from the uterus.†(Dictionary.com). These pro-life believers (against open access to abortion) do not support the idea of encouraged abortion and aim for it to be illegal. Many of these supporters do not know that if abortion wereRead MoreAbortion : A Woman s Choice1572 Words   |  7 PagesCelina Valvano Mr. Cukierski CPW 4U 12 November 2014 Abortion: A Woman’s Choice Abortion is an ongoing issue that many woman face today in society. Statistics show that one out of ten women aged from fifteen to nineteen gets pregnant each year and five out of six of these pregnancies are unintended (Lunneborg 1992). There is a constant struggle between whether to keep the child or to abort it. Some people believe that abortion is their only choice or their only way out of a difficult and challengingRead MoreShould Abortion Be A Pro Choice?954 Words   |  4 PagesPro-choice believers support the idea that women have the choice to do what they want with their bodies. In the article, â€Å"Yes, I’m Pro-Abortion,† Lauren Rankin asserts that being Pro-Choice means accepting abortion as one of the choices women have the right to make. Rankin says that abortion is not available for all women, especially a woman of color and low-income woman. The author also mentions that it sidelines abortion and delegitimizes the valid choice. I agree that if one ch ooses to be Pro-ChoiceRead MorePro Choice Vs. Abortion1426 Words   |  6 Pages Pro-Choice is an opposing position against the pro-life that completely and clearly advocates that every women in the world has equal rights of having abortion and there will no legal or religious restriction against electing an abortion in routine life. Many of social religious, civil and national federations raised a slogan against abortion and in the support of this opposition all of these communities and people also run Pro-life movement, United States. This movement opposes Pro-choice and manyRead More Pro-Choice vs. Pro-Life: No Correct Answer Essay1707 Words   |  7 PagesAbortion is the ending of a pregnancy before birth; it causes the termination of the embryo or fetus inside the women. There are two different types of abortion, a spontaneous abortion, which is also known as a miscarriage, and an induced abortion, where the embryo or fetus is purposely removed from the women’s body. The topic of induced abortion has been widely debated for hundreds of years. The issue of abortion was argued way back in the time of the ancient Hebrews. In the United States itRead MoreLegal Abortion: Arguments Pro and Con.984 Words   |  4 PagesLegal Abortion: Arguments Pro and Con. Abortion is one of the most controversial issues in the world nowadays. Currently, abortion is legal in America, and many people believe that it should remain legal. These people, pro-choice activists, say that it is the womens right whether or not to have a child. However, there are many groups who are lobbying the Congress to pass laws that would make abortion illegal. These people are called the pro-life activists. Both pro-life and pro-choice activists

Descriptive Statistics Tabular and Graphical Presentations Free Essays

chapter 2 Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Learning Objectives 1. Learn how to construct and interpret summarization procedures for qualitative data such as : frequency and relative frequency distributions, bar graphs and pie charts. 2. We will write a custom essay sample on Descriptive Statistics: Tabular and Graphical Presentations or any similar topic only for you Order Now Learn how to construct and interpret tabular summarization procedures for quantitative data such as: frequency and relative frequency distributions, cumulative frequency and cumulative relative frequency distributions. . Learn how to construct a dot plot, a histogram, and an ogive as graphical summaries of quantitative data. 4. Learn how the shape of a data distribution is revealed by a histogram. Learn how to recognize when a data distribution is negatively skewed, symmetric, and positively skewed. 5. Be able to use and interpret the exploratory data analysis technique of a stem-and-leaf display. 6. Learn how to construct and interpret cross tabulations and scatter diagrams of bivariate data. Solutions: 1. |Class |Frequency |Relative Frequency | |A |60 |60/120 = 0. 50 | |B | 24 |24/120 = 0. 20 | |C | 36 |36/120 = 0. 30 | | |120 | 1. 00 | 2. a. 1 – (. 22 + . 18 + . 40) = . 20 b.. 20(200) = 40 c/d. Class |Frequency |Percent Frequency | |A |. 22(200) = 44 | 22 | |B |. 18(200) = 36 | 18 | |C |. 40(200) = 80 | 40 | |D |. 20(200) = 40 | 20 | |Total |200 |100 | 3. a. 360 ° x 58/120 = 174 ° b. 360 ° x 42/120 = 126 ° c. [pic] d. [pic] 4. a. The data are qualitative. b. | |Percent Frequency | |Newspaper |Frequency | | |Liberty Times |24 |48 | |China Times |15 |30 | |United Daily News |7 |14 | |Apple Daily |4 |8 | |Total: |50 |100 | c. [pic] [pic] d. Liberty Times has the largest market share. China Times is second. 5. a. |Name |Frequency |Relative Frequency |Percent Frequency | |Chan |10 |. 200 |20. 0% | |Chang |7 |. 140 |14. 0% | |Lee |8 |. 160 |16. 0% | |Liu |7 |. 140 |14. 0% | |Wang |12 |. 240 |24. % | |Young |6 |. 120 |12. 0% | | |50 |1. 000 |100. 0% | b. [pic] c. Chan. 200 x 360 = 72. 0( Chang. 140 x 360 = 50. 4( Lee. 160 x 360 = 58. 6( Liu. 140 x 360 = 50. 4( Wang. 240 x 360 = 86. 4( Young. 120 x 360 = 43. 2( [pic] d. Most common: Wang, Chan, and Lee 6. a. |Book |Frequency |Percent Frequency | |7 Habits |10 | |16. 6 | | |Millionaire |16 | |26. 67 | | |Motley |9 | |15. 00 | | |Dad |13 | |21. 67 | | |WSJ Guide |6 | |10. 00 | | |Other |6 | |10. 00 | | |Total: |60 | |100. 00 | | The Ernst Young Tax Guide 2000 with a frequency of 3, Investing for Dummies with a frequency of 2, and What Color is Your Parachute? 2000 with a frequency of 1 are grouped in the â€Å"Other† category. b. The rank order from first to fifth is: Millionaire, Dad, 7 Habits, Motley, and WSJ Guide. c. The percent of sales represented by The Millionaire Next Door and Rich Dad, Poor Dad is 48. 33%. 7. |Rating |Frequency |Relative Frequency | |Outstanding |19 |0. 8 | |Very Good |13 |0. 26 | |Good |10 |0. 20 | |Average | 6 |0. 12 | |Poor | 2 |0. 04 | | |50 |1. 00 | Management should be pleased with these results. 64% of the ratings are very good to outstanding. 84% of the ratings are good or better. Comparing these ratings with previous results will show whether or not the restaurant is making improvements in its ratings of food quality. 8. a. |Position |Frequency |Relative Frequency | |Pitcher |17 |0. 309 | |Catcher | 4 |0. 073 | |1st Base | 5 |0. 091 | |2nd Base | 4 |0. 073 | |3rd Base | 2 |0. 36 | |Shortstop | 5 |0. 091 | |Left Field | 6 |0. 109 | |Center Field | 5 |0. 091 | |Right Field | 7 |0. 127 | | |55 |1. 000 | b. Pitchers (Almost 31%) c. 3rd Base (3 – 4%) d. Right Field (Almost 13%) e. Infielders (16 or 29. 1%) to Outfielders (18 or 32. 7%) 9. a/b. Starting Time | Frequency |Percent Frequency | |7:00 |3 | |15 | | |7:30 |4 | |20 | | |8:00 |4 | |20 | | |8:30 |7 | |35 | | |9:00 |2 | |10 | | | |20 | |100 | | c. Bar Graph [pic] d. [pic] . The most preferred starting time is 8:30 a. m.. Starting times of 7:30 and 8:00 a. m. are next. 10. a. The data refer to quality levels from 1 â€Å"Not at all Satisfied† to 7 â€Å"Extremely Satisfied. † b. |Rating |F requency |Relative Frequency | |3 |2 | 0. 03 | |4 |4 | 0. 07 | |5 |12 | 0. 20 | |6 |24 | 0. 40 | |7 |18 | 0. 0 | | |60 | 1. 00 | c. Bar Graph [pic] d. The survey data indicate a high quality of service by the financial consultant. The most common ratings are 6 and 7 (70%) where 7 is extremely satisfied. Only 2 ratings are below the middle scale value of 4. There are no â€Å"Not at all Satisfied† ratings. 11. |Class |Frequency |Relative Frequency |Percent Frequency | | | | | | |12-14 |2 |0. 50 |5. 0 | |15-17 | 8 |0. 200 | 20. 0 | |18-20 |11 |0. 275 | 27. 5 | |21-23 |10 |0. 250 | 25. 5 | |24-26 | 9 |0. 225 | 22. 5 | |Total |40 |1. 000 |100. | 12. |Class |Cumulative Frequency |Cumulative Relative Frequency | |less than or equal to 19 |10 | . 20 | |less than or equal to 29 |24 | . 48 | |less than or equal to 39 |41 | . 82 | |less than or equal to 49 |48 | . 6 | |less than or equal to 59 |50 |1. 00 | 13. [pic] [pic] 14. a. [pic] b/c. |Class |Frequency |Percent Frequency | | 6. 0 – 7. 9 |4 | 20 | | 8. 0 – 9. 9 | 2 | 10 | |10. 0 – 11. 9 | 8 | 40 | |12. 0 – 13. 9 | 3 | 15 | |14. 0 – 15. | 3 | 15 | | |20 |100 | 15. a/b. |Waiting Time |Frequency |Relative Frequency | |0 – 4 |4 |0. 20 | |5 – 9 | 8 |0. 40 | |10 – 14 | 5 |0. 25 | |15 – 19 | 2 |0. 10 | |20 – 24 | 1 |0. 5 | |Totals |20 |1. 00 | c/d. |Waiting Time |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 4 |4 |0. 20 | |Less than or equal to 9 |12 |0. 60 | |Less than or equal to 14 |17 |0. 5 | |Less than or equal to 19 |19 |0. 95 | |Less than or equal to 24 |20 |1. 00 | e. 12/20 = 0. 60 16. a. The histogram is shown below. [pic] The histogram clearly shows that the annual household incomes are skewed to the right. And, of course, if annual household incomes are skewed to the right, so are annual incomes. This makes sense because the vast majority of annual incomes are less than NT$1,000,000. But, there are a few individuals with very large incomes. b. The histogram for the age is given. [pic] The histogram shows that the distribution of age is skewed to the left. This is to be expected. It is our experience that there are frequently a few very low ages causing such a pattern to appear. c. The histogram for the data in Exercise 11 is given. d. [pic] e. This histogram is skewed to the left slightly, but we would probably classify it as roughly symmetric. 17. a. |Amount (NT$ ‘000) |Frequency |Relative Frequency | |Less than 56 |3 |. 2 | |56-75 |5 |. 20 | |76-95 |11 |. 44 | |96-115 |4 |. 16 | |116-135 |1 |. 04 | |136 and more | 1 |. 04 | | |25 |1. 00 | b. Histogram [pic] The distribution has a roughly symmetric shape. c. The largest group spends NT$76-NT$95 per year on books and magazines. There are more in the NT$56 to NT$75 range than in the NT$96 to NT$115 range. 18. a. Lowest salary: NT$29,300 Highest salary: NT$37,800 b. |Salary (NT$100s) |Frequency |Relative |Percent Frequency | | | |Frequency | | |293-307 |4 |0. 09 |9 | |308-322 |5 |0. 11 |11 | |323-337 |9 |0. 0 |20 | |338-352 |17 |0. 38 |38 | |353-367 |7 |0. 16 |16 | |368-382 |3 |0. 07 |7 | |Total |45 |1. 00 |100 | c. Proportion NT$33,700 or less: 18/45. d. Percentage more than NT$35,200: 10/45 [pic] e. The distribution is skewed slightly to the left, but is roughly symmetric. 19. a/b. Number |Frequency |Relative Frequency | |140 – 149 | 2 |0. 10 | |150 – 159 | 7 |0. 35 | |160 – 169 | 3 |0. 15 | |170 – 179 | 6 |0. 30 | |180 – 189 | 1 |0. 05 | |190 – 199 | 1 |0. 05 | |Totals |20 |1. 0 | c/d. |Number |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 149 | 2 |0. 10 | |Less tha n or equal to 159 | 9 |0. 45 | |Less than or equal to 169 |12 |0. 60 | |Less than or equal to 179 |18 |0. 0 | |Less than or equal to 189 |19 |0. 95 | |Less than or equal to 199 |20 |1. 00 | e. [pic] 20. a. The percentage of people 39 or less is 12. 2 + 14. 2 + 17. 1 + 16. 2 = 59. 7. b. The percentage of the population over 39 years old is 16. 3 + 10. 9 + 6. 7 + 4. 7 + 1. 7 = 40. 3 c. The percentage of the population that is between 20 and 59 years old inclusively is 17. 1 + 16. 2 + 16. 3 + 10. = 60. 5 d. The percentage less than 30 years old is 12. 2 + 14. 2 + 17. 1 = 43. 5. So there are (. 435) (22,689,122) = 9,869,768. 07 people less than 30 years old. e. An estimate of the number of retired people is (. 047 + . 017) (22,689,122) = 1,452,103. 81 21. a/b. |Computer Usage | |Relative Frequency | |(Hours) |Frequency | | |0. 0 |- |2. 9 |5 |0. 10 | |3. 0 |- |5. 9 |28 |0. 56 | |6. 0 |- |8. |8 |0. 16 | |9. 0 |- |11. 9 |6 |0. 12 | |12. 0 |- |14. 9 |3 |0. 06 | | |Total |50 |1. 00 | c. [pic ] d. [pic] e. The majority of the computer users are in the 3 to 6 hour range. Usage is somewhat skewed toward the right with 3 users in the 12 to 15 hour range. 22. |5 |7 8 | |6 |4 5 8 | |7 |0 2 2 5 5 6 8 | 8 |0 2 3 5 | 23. Leaf Unit = 0. 1 |6 |3 | |7 |5 5 7 | |8 |1 3 4 8 | |9 |3 6 | |10 |0 4 5 | |11 |3 | 24. Leaf Unit = 10 |11 |6 | |12 |0 2 | |13 |0 6 7 | |14 |2 2 7 | |15 |5 | |16 |0 2 8 | 17 |0 2 3 | 25. | 9 |8 9 | |10 |2 4 6 6 | |11 |4 5 7 8 8 9 | |12 |2 4 5 7 | |13 |1 2 | |14 |4 | |15 |1 | 26. a. 100 shares at $50 per share |1 |0 3 7 7 | |2 |4 5 5 | |3 |0 0 5 5 9 | |4 |0 0 0 5 5 8 | |5 |0 0 0 4 5 5 | This stem-and-leaf display shows that the trading prices are closely grouped together. Rotating the stem-and-leaf display counter clockwise shows a histogram that is slightly skewed to the left but is roughly symmetric. b. 500 shares traded online at $50 per share. |0 |5 7 | |1 |0 1 1 3 4 | |1 |5 5 5 8 | |2 |0 0 0 0 0 0 | |2 |5 5 | |3 |0 0 0 | |3 |6 | 4 | | |4 | | |5 | | |5 | | |6 |3 | This stretched stem-and-leaf display shows that the distribution of online trading prices for most of the brokers for 500 shares are lower than the trading prices for broker assisted trades of 100 shares. There are a couple of outliers. York Securities charges $36 for an online trade and Investors National charges much more than the other brokers: $62. 50 for an online trade. 27. 4 |1 3 6 6 7 | |5 |0 0 3 8 9 | |6 |0 1 1 4 4 5 7 7 9 | |7 |0 0 0 1 3 4 4 5 5 6 6 6 7 8 8 | |8 |0 1 1 3 4 4 5 7 7 8 9 | |9 |0 2 2 7 | or |4 |1 3 | |4 |6 6 7 | |5 |0 0 3 | |5 |8 9 | 6 |0 1 1 4 4 | |6 |5 7 7 9 9 | |7 |0 0 0 1 3 4 4 | |7 |5 5 6 6 6 7 8 8 | |8 |0 1 1 3 4 4 | |8 |5 7 7 8 9 | |9 |0 2 2 | |9 |7 | 28. a. |0 |5 8 | |1 |1 1 3 3 4 4 | |1 |5 6 7 8 9 9 | |2 |2 3 3 3 5 5 | |2 |6 8 | |3 | | 3 |6 7 7 9 | |4 |0 | |4 |7 8 | |5 | | |5 | | |6 |0 | b. |2000 P/E Forecast | |Percent Frequency | | |Frequency | | |5 – 9 |2 |6. 7 | | |10 – 14 |6 |20. 0 | | |15 – 19 |6 |20. 0 | | |20 – 24 |6 |20. | | |25 – 29 |2 |6. 7 | | |30 – 34 |0 |0. 0 | | |35 – 39 |4 |13. 3 | | |40 – 44 |1 |3. 3 | | |45 – 49 |2 |6. 7 | | |50 – 54 |0 |0. 0 | | |55 – 59 |0 |0. 0 | | |60 – 64 |1 |3. 3 | | |Total |30 |100. 0 | | 29. a. [pic] b. [pic] c. [pic] d. Category A values for x are always associated with category 1 values for y. Category B values for x are usually associated with category 1 values for y. Category C values for x are usually associated with category 2 values for y. 30. a. [pic] b. There is a negative relationship between x and y; y decreases as x increases. 31. a. Row Percentages: | |Household Income (NT$ ‘000) | | |Age |Under 999 |1,000-1,499 |1,500-1,999 |2,000-2,499 |2,500-2,999 |3,000 or more |Total | |Under 34 |27. 6 |30. 54 |21. 01 |12. 99 |4. 93 |2. 76 |100. 00 | |35-44 |20. 90 |31. 32 |21. 49 |10. 48 |8. 79 |7. 03 |100. 00 | |45-54 |16. 00 |29. 17 |19. 24 |19. 87 |6. 83 |8. 88 |100. 00 | |55-64 |23. 73 |19. 26 |20. 01 |14. 46 |8. 81 |13. 73 |100. 00 | |65 or more |70. 57 |18. 37 |4. 42 |2. 4 |0. 74 |2. 96 |100. 00 | |Total |27. 70 |27. 32 |18. 27 |13. 05 |6. 51 |7. 15 |100. 00 | There are seven percent frequency distributions in this table with row percentages. The first six give the percent frequency dis tribution of income for each age level. The total row provides an overall percent frequency distribution for household income. Both of the two rows (age 35-44 and age 55- 64) have more percentage in the cells and descended in order of larger income. The second row is the percent frequency distribution for households headed by age 35-44. The fourth row is the percent frequency distribution for households headed by age 55-64. b. The percentage of heads of households by age 35-44 earning NT$2,500,000 or more is 8. 79% + 7. 03% = 15. 82%. The percentage of heads of households by age 55-64 earning $75,000 or more is 8. 81% + 13. 73% = 22. 54%. c. The percent frequency histograms are shown below. [pic] No. The histogram can not tell us any relationship between household income and age. 32. a. Column Percentages: |Household Income ($1000s) | | |Education Level |Under 24. 9 |25. 0-49. 9 |50. 0-74. 9 |75. 0-99. 9 |100 or More |Total | |Not H. S. Graduate |32. 70 |14. 82 |8. 27 |5. 02 |2. 53 |15. 86 | |H. S. Graduate |35. 74 |35. 56 |31. 48 |25. 39 |14. 47 |30. 78 | |Some College |21. 17 |29. 77 |30. 25 |29. 2 |22. 26 |26. 37 | |Bachelor’s Degree |7. 53 |14. 43 |20. 56 |25. 03 |33. 88 |17. 52 | |Beyond Bach. Deg. |2. 86 |5. 42 |9. 44 |14. 74 |26. 86 |9. 48 | |Total |100. 00 |100. 00 |100. 00 |100. 00 |100. 00 |100. 00 | There are six percent frequency distributions in this table of column percentages. The first five columns give the percent frequency distributions for each income level. The percent frequency distribution in the â€Å"Total† column gives the overall percent frequency distributions for educational level. From that percent frequency distribution we see that 15. 86% of the heads of households did not graduate from high school. b. The column percentages show that 26. 86% of households earning over $100,000 were headed by persons having schooling beyond a bachelor’s degree. The row percentages show that 39. 72% of the households headed by persons with schooling beyond a bachelor’s degree earned $100,000 or more. These percentages are different because they came from different percent frequency distributions. c. Compare the â€Å"under 24. 9† percent frequency distributions to the â€Å"Total† percent frequency distributions. We see that for this low income level the percentage with lower levels of education is lower than for the overall population and the percentage with higher levels of education is higher than for the overall population. Compare the â€Å"100 or more† percent frequency distribution to â€Å"Total† percent frequency distribution. We see that for this high income level the percentage with lower levels of education is lower than for the overall population and the percentage with higher levels of education is higher than for the overall population. From the comparisons here it is clear that there is a positive relationship between household incomes and the education level of the head of the household. 33. a. The crosstabulation of condition of the greens by gender is below. | |Green Condition | | |Gender |Too Fast |Fine |Total | |Male |35 | 65 |100 | |Female |40 | 60 |100 | |Total |75 |125 |200 | The female golfers have the highest percentage saying the greens are too fast: 40%. b. 10% of the women think the greens are too fast. 20% of the men think the greens are too fast. So, for the low handicappers, the men have a higher percentage who think the greens are too fast. c. 43% of the woman think the greens are too fast. 50% of the men think the greens are too fast. So, for the high handicappers, the men have a higher percentage who think the greens are too fast. . This is an example of Simpson’s Paradox. At each handicap level a smaller percentage of the women think the greens are too fast. But, when the crosstabulations are aggregated, the result is reversed and we find a higher percentage of women who think the greens are too fast. The hidden variable explaining the reversal is handicap level. Fewer people with low handicaps think the greens are too fast, and there are more men with low handicaps than women. 34. a. | |EPS Rating | | | |Sales/Margins/ROE |0-19 |20-39 |40-59 |60-79 |80-100 |Total | |A | | | |1 |8 |9 | |B | |1 |4 |5 |2 |12 | |C |1 | |1 |2 |3 |7 | |D |3 |1 | |1 | |5 | |E | |2 |1 | | |3 | |Total |4 |4 |6 |9 |13 |36 | b. | | |EPS Rating | | | |Sales/Margins/ROE |0-19 |20-39 |40-59 |60-79 |80-100 |Total | |A | | | |11. 11 |88. 89 |100 | |B | |8. 33 |33. 33 |41. 67 |16. 67 100 | |C |14. 29 | |14. 29 |28. 57 |42. 86 |100 | |D |60. 00 |20. 00 | |20. 00 | |100 | |E | |66. 67 |33. 33 | | |100 | Higher EPS ratings seem to be associated with higher ratings on Sales/Margins/ROE. Of those companies with an â€Å"A† rating on Sales/Margins/ROE, 88. 89% of them had an EPS Rating of 80 or higher. Of the 8 companies with a â€Å"D† or â€Å"E† rating on Sales/Margins/ROE, only 1 had an EPS rating above 60. 35. a. | |Industry Group Relative Strength | | | |Sales/Margins/ROE |A |B |C |D |E |Total | |A |1 |2 |2 |4 | |9 | |B |1 |5 |2 |3 |1 |12 | |C |1 |3 | |2 |1 |7 | |D |1 | |1 |1 |2 |5 | |E | |1 |2 | | |3 | |Total |4 |11 |7 |10 | 4 |36 | | | | | | | | | b/c. The frequency distributions for the Sales/Margins/ROE data is in the rightmost column of the crosstabulation. The frequency distribution for the Industry Group Relative Strength data is in the bottom row of the crosstabulation. d. Once the crosstabulation is complete, the individual frequency distributions are available in the margins. 36. a. [pic] b. One might expect stocks with higher EPS ratings to show greater relative price strength. However, the scatter diagram using this data does not support such a relationship. The scatter diagram appears similar to the one showing â€Å"No Apparent Relationship† in the text. 37. a. The crosstabulation is shown below: | |Speed |   | |Position |4-4. 49 |4. 5-4. 99 |5-5. 49 |5. 5-5. 9 |Grand Total | |Guard | | |12 |1 |13 | |Offensive tackle | |2 |7 |3 |12 | |Wide receiver |6 |9 | | |15 | |Grand Total |6 |11 |19 |4 |40 | b. There appears to be a relationship between Position and Speed; wide receivers had faster speeds than offensive tackles and guards. c. The scatter diagram is shown below: [pic] d. There appears to be a relationship between S peed and Rating; slower speeds appear to be associated with lower ratings. In other words,, prospects with faster speeds tend to be rated higher than prospects with slower speeds. 38. a. |Vehicle |Frequency |Percent Frequency | F-Series |17 |34 | |Silverado |12 |24 | |Taurus |8 |16 | |Camry |7 |14 | |Accord |6 |12 | |Total |50 |100 | b. The two top selling vehicles are the Ford F-Series Pickup and the Chevrolet Silverado. c. 39. a/b. |Industry |Frequency |Percent Frequency | |Beverage |2 |10 | |Chemicals | 3 | 15 | |Electronics | 6 | 30 | |Food | 7 | 35 | |Aerospace | 2 | 10 | |Totals: |20 |100 | . 40. a. Response |Frequency |Percent Frequency | |Accuracy |16 |16 | |Approach Shots |3 |3 | |Mental Approach |17 |17 | |Power |8 |8 | |Practice |15 |15 | |Putting |10 |10 | |Short Game |24 |24 | |Strategic Decisions | 7 | 7 | |Total |100 |100 | b. Poor short game, poor mental approach, lack of accuracy, and limited practice. 41. a/b/c/d. Book Value | |Relative Frequency |Cumulative Freque ncy |Cumulative | |per Share |Frequency | | |Relative Frequency | |0. 00-5. 99 | 3 |0. 10 | 3 |0. 10 | |6. 00-11. 99 | 15 |0. 50 |18 |0. 60 | |12. 00-17. 99 | 9 |0. 30 |27 |0. 90 | |18. 00-23. 99 | 2 |0. 07 |29 |0. 97 | |24. 00-29. 99 | 0 |0. 00 |29 |0. 7 | |30. 00-35. 99 | 1 |0. 03 |30 |1. 00 | |Total |30 |1. 00 | | | e. The histogram shown below shows that the distribution of most of the book values is roughly symmetric. However, there is one outlier (General Motors). 42. a. |Closing Price |Frequency |Relative Frequency | |0 – 9 7/8 |9 |0. 225 | |10 – 19 7/8 |10 |0. 250 | |20 – 29 7/8 | 5 |0. 25 | |30 – 39 7/8 |11 |0. 275 | |40 – 49 7/8 | 2 |0. 050 | |50 – 59 7/8 | 2 |0. 050 | |60 – 69 7/8 | 0 |0. 000 | |70 – 79 7/8 | 1 |0. 025 | |Totals |40 |1. 000 | b. |Closing Price |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 9 7/8 |9 |0. 25 | |Less than or equal to 19 7/8 |19 |0. 475 | |Less than or equal to 29 7/8 |24 |0. 600 | |Less than or equal to 39 7/8 |35 |0. 875 | |Less than or equal to 49 7/8 |37 |0. 925 | |Less than or equal to 59 7/8 |39 |0. 975 | |Less than or equal to 69 7/8 |39 |0. 75 | |Less than or equal to 79 7/8 |40 |1. 000 | c. [pic] d. Over 87% of common stocks trade for less than $40 a share and 60% trade for less than $30 per share. 43. a. | | |Relative Frequency | |Exchange |Frequency | | |American |3 |0. 15 | |New York |2 |0. 10 | |Over the Counter |15 |0. 75 | | |20 |1. 00 | b. Earnings Per Share | |Relative Frequency | | |Frequency | | |0. 00 – 0. 19 |7 |0. 35 | |0. 20 – 0. 39 |7 |0. 35 | |0. 40 – 0. 59 |1 |0. 05 | |0. 60 – 0. 79 |3 |0. 15 | |0. 80 – 0. 99 |2 |0. 10 | | |20 |1. 00 | Seventy percent of the shadow stocks have earnings per share less than $0. 40. It looks like low EPS should be expected for shadow stocks. | | | |Price-Earning Ratio | |Relative Frequency | | |Frequency | | |0. 00 – 9. 9 |3 |0. 15 | |10. 0 – 19. 9 |7 |0. 35 | |20. 0 – 29. 9 |4 |0. 20 | |30. 0 – 39. 9 |3 |0. 15 | |40. 0 – 49. 9 |2 |0. 10 | |50. 0 – 59. 9 |1 |0. 05 | | |20 |1. 00 | P-E Ratios vary considerably, but there is a significant cluster in the 10 – 19. 9 range. 44. | | |Relative Frequency | |Income ($) |Frequency | | |18,000-21,999 |13 |0. 255 | |22,000-25,999 |20 |0. 392 | |26,000-29,999 |12 |0. 235 | |30,000-33,999 |4 |0. 078 | |34,000-37,999 |2 |0. 039 | |Total |51 |1. 000 | 45. a. 0 |8 9 | |1 |0 2 2 2 3 4 4 4 | |1 |5 5 6 6 6 6 7 7 8 8 8 8 9 9 9 | |2 |0 1 2 2 2 3 4 4 4 | |2 |5 6 8 | |3 |0 1 3 | b/c/d. |Number Answered Correctly | |Relative Frequency |Cumulative Frequency | | |Frequency | | | |5 – 9 |2 |0. 50 |2 | |10 – 14 | 8 |0. 200 |10 | |15 – 19 |15 |0. 375 |25 | |20 – 24 | 9 |0. 225 |34 | |25 – 29 | 3 |0. 075 |37 | |30 – 34 | 3 |0. 075 |40 | |Totals |40 |1. 000 | | e. Relatively few of the students (25%) were able to answer 1/2 or more of the questions correctly. The data seem to support the Joint Council on Economic Education’s claim. However, the degree of difficulty of the questions needs to be taken into account before reaching a final conclusion. 46. a/b. [pic] c. It is clear that the range of low temperatures is below the range of high temperatures. Looking at the stem-and-leaf displays side by side, it appears that the range of low temperatures is about 20 degrees below the range of high temperatures. d. There are two stems showing high temperatures of 80 degrees or higher. They show 8 cities with high temperatures of 80 degrees or higher. e. Frequency |Temperature |High Temp. |Low. Temp. |30-39 |0 |1 | |40-49 |0 |3 | |50-59 |1 |10 | |60-69 |7 |2 | |70-79 |4 |4 | |80-89 |5 |0 | |90-99 |3 |0 | |Total |20 |20 | 47. a. b. There is clearly a positive relationship between high and low temperature for cities. As one goes up so does the other. 48. a. | |Satisfaction Score | | | |Occupation |30-39 |40-49 |50-59 |60-69 |70-79 |80-89 |Tot al | |Cabinetmaker | | |2 |4 |3 |1 |10 | |Lawyer |1 |5 |2 |1 |1 | |10 | |Physical Therapist | | |5 |2 |1 |2 |10 | |Systems Analyst | |2 |1 |4 |3 | |10 | |Total |1 |7 |10 |11 |8 |3 |40 | b. | | |Satisfaction Score | | | |Occupation |30-39 |40-49 |50-59 |60-69 |70-79 |80-89 |Total | |Cabinetmaker | | |20 |40 |30 |10 |100 | |Lawyer |10 |50 |20 |10 |10 | |100 | |Physical Therapist | | |50 |20 |10 |20 |100 | Systems Analyst | |20 |10 |40 |30 | |100 | c. Each row of the percent crosstabulation shows a percent frequency distribution for an occupation. Cabinet makers seem to have the higher job satisfaction scores while lawyers seem to have the lowest. Fifty percent of the physical therapists have mediocre scores but the rest are rather high. 49. a. [pic]b. There appears to be a positive relationship between number of employees and revenue. As the number of employees increases, annual revenue increases. 50. a. | | |Fuel Type | | | |Year Constructed |Elec |Nat. Gas |Oil |Propane |Other |Total | |1973 or before | 40 |183 |12 |5 | 7 |247 | |1974-1979 | 24 | 26 | 2 |2 | 0 | 54 | |1980-1986 | 37 | 38 | 1 |0 | 6 | 82 | |1987-1991 | 48 | 70 | 2 |0 | 1 |121 | |Total |149 |317 |17 |7 |14 |504 | b. |Year Constructed |Frequency |Fuel Type |Frequency | |1973 or before |247 | Electricity |149 | |1974-1979 | 54 | Nat. Gas |317 | |1980-1986 | 82 | Oil | 17 | |1987-1991 |121 | Propane | 7 | |Total |504 | Other | 14 | | | |Total |504 | c. Crosstabulation of Column Percentages | | |Fuel Type | | |Year Constructed |Elec |Nat. Gas |Oil |Propane |Other | |1973 or before | 26. 9 | 57. 7 | 70. 5 | 71. 4 | 50. 0 | |1974-1979 | 16. 1 | 8. 2 | 11. 8 | 28. 6 | 0. 0 | |1980-1986 | 24. 8 | 12. 0 | 5. 9 | 0. 0 | 42. 9 | |1987-1991 | 32. 2 | 22. 1 | 11. 8 | 0. 0 | 7. 1 | |Total |100. 0 |100. 0 |100. 0 |100. 0 |100. 0 | d. Crosstabulation of row percentages. | |Fuel Type | | | |Year Constructed |Elec |Nat. Gas |Oil |Propane |Other |Total | |1973 or before |16. 2 |74. 1 |4. 9 |2. 0 |2. 8 |100. 0 | |1974-1979 |44. 5 |48. 1 |3. 7 |3. 7 |0. 0 |100. 0 | |1980-1986 |45. 1 |46. 4 |1. 2 |0. 0 |7. 3 |100. 0 | |1987-1991 |39. 7 |57. 8 |1. 7 |0. 0 |0. 8 |100. 0 | e. Observations from the column percentages crosstabulation For those buildings using electricity, the percentage has not changed greatly over the years. For the buildings using natural gas, the majority were constructed in 1973 or before; the second largest percentage was constructed in 1987-1991. Most of the buildings using oil were constructed in 1973 or before. All of the buildings using propane are older. Observations from the row percentages crosstabulation Most of the buildings in the CGE service area use electricity or natural gas. In the period 1973 or before most used natural gas. From 1974-1986, it is fairly evenly divided between electricity and natural gas. Since 1987 almost all new buildings are using electricity or natural gas with natural gas being the clear leader. 51. a. Crosstabulation for stockholder’s equity and profit. | |Profits ($000) | | | |Stockholders’ Equity ($000) |0-200 |200-400 |400-600 |600-800 |800-1000 |1000-1200 |Total | |0-1200 |10 |1 | | | |1 |12 | |1200-2400 |4 |10 | | |2 | |16 | |2400-3600 |4 |3 |3 |1 |1 |1 |13 | |3600-4800 | | | | |1 |2 |3 | |4800-6000 | |2 |3 |1 | | |6 | |Total |1 8 |16 |6 |2 |4 |4 |50 | b. Crosstabulation of Row Percentages. | | |Profits ($000) | | | |Stockholders’ Equity ($1000s) |0-200 |200-400 |400-600 |600-800 |800-1000 |1000-1200 |Total | |0-1200 |83. 33 |8. 33 |0. 00 |0. 00 |0. 00 |8. 33 |100 | |1200-2400 |25. 00 |62. 50 |0. 00 |0. 00 |12. 50 |0. 0 |100 | |2400-3600 |30. 77 |23. 08 |23. 08 |7. 69 |7. 69 |7. 69 |100 | |3600-4800 | |0. 00 |0. 00 |0. 00 |33. 33 |66. 67 |100 | |4800-6000 |0. 00 |33. 33 |50. 00 |16. 67 |0. 00 |0. 00 |100 | c. Stockholder’s equity and profit seem to be related. As profit goes up, stockholder’s equity goes up. The relationship, however, is not very strong. 52. a. Crosstabulation of market value and profit. | |Profit ($1000s) | | | |Market Value ($1000s) |0-300 |300-600 |600-900 |900-1200 |Total | |0-8000 |23 |4 | | |27 | |8000-16000 |4 |4 |2 |2 |12 | |16000-24000 | |2 |1 |1 |4 | |24000-32000 | |1 |2 |1 |4 | |32000-40000 | |2 |1 | |3 | |Total |27 |13 |6 |4 |50 | b. Crosstabulation of Row P ercentages. | | |Profit ($1000s) | | | |Market Value ($1000s) |0-300 |300-600 |600-900 |900-1200 |Total | |0-8000 |85. 19 |14. 81 |0. 00 |0. 00 |100 | |8000-16000 |33. 33 |33. 33 |16. 67 |16. 67 |100 | |16000-24000 |0. 00 |50. 00 |25. 00 |25. 0 |100 | |24000-32000 |0. 00 |25. 00 |50. 00 |25. 00 |100 | |32000-40000 |0. 00 |66. 67 |33. 33 |0. 00 |100 | c. There appears to be a positive relationship between Profit and Market Value. As profit goes up, Market Value goes up. 53. a. Scatter diagram of Profit vs. Stockholder’s Equity. [pic] b. Profit and Stockholder’s Equity appear to be positively related. 54. a. Scatter diagram of Market Value and Stockholder’s Equity. [pic] b. There is a positive relationship between Market Value and Stockholder’s Equity. ———————– [pic] [pic] [pic] How to cite Descriptive Statistics: Tabular and Graphical Presentations, Essays

Aquaculture Fish Resources

Questions: 1 What is an "ecosystem" approach to fisheries management and where does aquaculture fit in?2 "The only way to satisfy future demands for fish and shellfish will be through increasing aquaculture production". Discuss.3 Describe the recent advances and constraints of farming a named species. What are the future production prospects for this species?4.Lack of management, sparse biological data and low conservation priority are the biggest impairments to elasmobranch conservation. Discuss this statement, supporting your arguments with examples.5 Describe the principles of MSE full-feedback simulation, and explain what kind of insights can be derived from it, if necessary illustrated by (madeup)examples.6 .we need to stop discards, because throwing away food in a hungry world destroys our image and undermines data collection. Therefore I propose to land all catches and count them against quotas from M. Damanaki, EuropeanCommissioner for Maritime Affairs and Fisheries, presentation to the European Parliament. Discuss the issues relating to discarding and whether you think that the proposed discard ban under the Common Fisheries Reform (2012) is likely tobe effective. Answers: 1. Aquaculture is the one of the sectors for commercial production of fishes contributing to more than half of the fishes produced all over the world through different ways supplying fish resources to a large bulk of global population. Maintaining sustainability in aquaculture refers to the production of fishes without harming the ecosystem and its various components in such a way that the ecological balance between different aquatic organisms is not interrupted. The criteria that should be considered in order to prepare a sustainable aquaculture system are to set up a proper objective and motive for the maintenance of sustainability during the development of the aquaculture and to ensure that important precautionary approaches are taken for the proper development of aquaculture sectors (Bush et al. 2013). Others criteria that should also be given be foremost priority are proper and correct amount of feeds requirement as more requirement increases the nutrient load and less results i n inadequate food supply. Predator and prey interactions between the various fishes and the aquatic organisms also should be properly judged. Proper monitoring should be done to avoid the vulnerable habitats and high risk areas as both the aquaculture and the environment may face loss in terms of resource management. Pollution should be controlled. Proper management should be done between the fisheries and aquaculture. Care should be provided in order to achieve high level of welfare in the aquaculture businesses. Proper policy by the authorities should be implemented without the presence of any loopholes so that discrepancies in terms of excess resource use and destruction of the ecosystem can be prevented (Lazard et al 2014). 2. An ecosystem approach to resource management in fisheries can be described as those approaches which would govern then proper production of fish resources to the present generation keeping in mind the objective that would prevent the jeopardizing of options of achieving this resource by the future generations so that they can also enjoy the benefit from a variety of ranges of goods and services obtained from the aquatic resources. This can be very well understood by an example. Fisheries without an ecosystem approach have resulted in reducing the abundance and spawning potential of the target fishes due to unplanned overfishing. Parameters like growth, maturation and many others are also found to have been affected (Jennings et al. 2014). Exploitation of the resources by altering the age, size, sex ratio, genetics and species composition of the target resources had a serious impact on the ecological stability. Poor management and lack of sustainability planning resulted in overfis hing breaking the stability of the ecosystem hampering the resources. An ecosystem approach of resource management in aquaculture includes a planned utilisation of varieties of different fishes, clams, crabs, prawns, mussels and others in a ecosystem so that a proper stable ecosystem is present in the environment with properly maintained food webs and food chains so that both the present and the future generations can enjoy the fish resources without harming the carrying capacity of the environment and harming the ecological balance by over production and exploitation of the resources. An example can be provided to describe the issues. A huge impact was found on the food web of the species of the particular region. Commercial extraction of a target species resulted in crashing down of the food cycle hampering the natural ecological balance of the particular biome (Laugen et al. 2014). Various other impacts were also recognized from this practice such as the lack of proper interactions between the different fishery resources and the environment, no prop er planning of maintaining the sustainability while various fishery resources are utilized, poor management techniques and unplanned scientific approach resulting in destruction of the carrying capacity of a particular biome. 3. Global climate change has been the leading concern for a large number of environmentalists in all areas of researches as it had propounding impacts on every organisms present on the earth and aquaculture has not been an exception from it. There is a rise of temperature for about 4 degree Celsius from the preindustrial era and such rise of temperature has affected the distribution of fishes in every water bodies on earth and has also affected the productivity of the fishes. Maintaining sustainability has become difficult and has therefore affected the communities whose living depends upon aquaculture. Rise of sea level due to global warming has affected the coastal fishing habitats with the change of rainfall pattern affecting the inland aquaculture systems (Bell et al 2013). Rising acidity in the oceans affected the production of shrimps, oysters, and corals as their shell formation gets affected due to disruption in calcification processes and loweing of Ph. Zooplanktons forming the base of marine food chain gets affected as they also possess calcite cells. Clown fishes suffer from behavioural disorders as they lose their hearing ability and judging ability to flee from predators and ornamental pisciculture also gets affected (Merino et al. 2012). Rising levels of sea water often results in floods and along the Mekong river the tonnes of bhasha fish production also gets affected due to the saltwater intrusion resulting from rising sea level and dams. 4. There are a number of differences between the lampreys and hagfishes. Lampreys dwell in both fresh and marine water and can live as both parasite and nonparasite. It may grow up to 1 metre. Hagfish is only marine and lives only as parasite. However like lampreys it also grows up to 1 metre. Lampreys body is less slimy and is stout. It has a mouth which is terminal and pair of eyes are functional. However hagfish has feeble body the skin is much slimy. The eyes are degenerative and the position of the mouth is terminal (Nelson, Grande and Wilson 2016). Lampreys teeth are larger and the tongue is not very well developed. It has a well developed brain and sexes are separate. However hagfish has well developed tongue, smaller teeth, less developed brain and the sexes are not separate that is they are hermaphrodite. Lamprey has 20 cranial nerves and also possesses gill slits which are 14 in number. Hagfishes show 16 cranial nerves and 2 gill slits. The lamprey possesses salivary glands where they secrete anticoagulant to remove the skin and flesh of their prey and suck blood. The hagfishes mainly are scavengers and eat dead fishes and do not possess any salivary glands (Hardisty 2013). The development of lamprey is indirect that is their lifecycle consists of stages of development from larva. The hagfishes develop directly without going through the larva stage. 5. Discarding in fishing can be defined as the process that is used to release those species which are caught during the fishing practices which are unintentional and are therefore discarded in the water itself. Often this discard might contain other important commercial species beside the target species that results in additional benefit to the fisher man. The by catches which are not important are discarded back mainly due to the presence of restricted quota and is influenced by the choice of gear or due to fishermans behaviour (Bellman and Heery 2013). Quantification of discarded is a highly difficult tasks and results always seem to vary. Assessment is done by the observer present at the site and time of the discards and has to take certain assumptions in mind for correct calculation. A linear relationship between the total landings and the discards has to be primarily assumed. From the discard rates that is studied from the the total landings of the fisheries, total quantity of the discards is then calculated. Under many circumstances it is found that, discard rates of many countries are considered negligible such as in artisanal and subsistence fisheries whereas in measuring discards during tuna fishing requires data from international tuna management. However, quantification purposes require more development especially including physical accounting and valuation of the ecological impacts in a broader spectrum. Equal probability and probability proportional are also conducted t quantify fishes discards. Discards can be reduced by technical, administrative as well as economic means. Technical means comprises of improving the selectivity of fishes and taking out ways to reduce non-target species or make it profitable process to keep them. Devices and gear modification can help. Administrative measure contains limiting the number of vehicle to inhibit huge discards and to limit the timings and seasons for fishing so that discard amount can be restricted. Regulatory quotas also prevent excessive discarding by limiting the amount of fishes to be caught and others (Catchpole et al. 2014). Economic measures would include taxes, subsidies and quotas to restrict excessive discards because application of penalty makes fisherman concerned and careful 6. The one on the left is the Beverton-Holt-Model and the other on the right is the Von Bertalanfy model. The graph on the left has spawning potential on x axis and number of recruits on y axis. The graph on the right has time(years) as x axis and length (cm)as y axis The graph o the left hand size give information that Recruitment is constant but it can never be specified. When there is no stock there is no recruitment (Bohner and Streipert 2016). Recruitment and selection are knife edge. This graph shows an exploited phase that portrays scramble competition. The fishing and natural mortality are considered to be a constant phenomena from the time they enter into the exploiters phase. A complete mixing occurs that lead to scramble competition for a particular resource. The graph on the right hand size shows that the length of a fish increases with time and after a certain time the rate of growth declines with increase in size (Lin et al. 2012). References: Bell, J.D., Ganachaud, A., Gehrke, P.C., Griffiths, S.P., Hobday, A.J., Hoegh-Guldberg, O., Johnson, J.E., Le Borgne, R., Lehodey, P., Lough, J.M. and Matear, R.J., 2013. Mixed responses of tropical Pacific fisheries and aquaculture to climate change.Nature Climate Change,3(6), pp.591-599. Bellman, M.A. and Heery, E., 2013. Discarding and fishing mortality trends in the US west coast groundfish demersal trawl fishery.Fisheries Research,147, pp.115-126. Bohner, M. and Streipert, S., 2016. Optimal Harvesting Policy For The BevertonHolt Model.Mathematical biosciences and engineering: MBE,13(4), p.673. Bush, S.R., Belton, B., Hall, D., Vandergeest, P., Murray, F.J., Ponte, S., Oosterveer, P., Islam, M.S., Mol, A.P., Hatanaka, M. and Kruijssen, F., 2013. Certify sustainable aquaculture?.Science,341(6150), pp.1067-1068. Catchpole, T.L., Feekings, J.P., Madsen, N., Palialexis, A., Vassilopoulou, V., Valeiras, J., Garcia, T., Nikolic, N. and Rochet, M.J., 2014. Using inferred drivers of discarding behaviour to evaluate discard mitigation measures.ICES Journal of Marine Science: Journal du Conseil,71(5), pp.1277-1285. Hardisty, M.W., 2013.Biology of the Cyclostomes. Springer. Jennings, S., Smith, A.D., Fulton, E.A. and Smith, D.C., 2014. The ecosystem approach to fisheries: management at the dynamic interface between biodiversity conservation and sustainable use.Annals of the New York Academy of Sciences,1322(1), pp.48-60. 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