首页
登录
职称英语
StatisticsI. Statistics in 【T1】______ 【T1】______A. Irregularities in the ballo
StatisticsI. Statistics in 【T1】______ 【T1】______A. Irregularities in the ballo
游客
2024-11-07
37
管理
问题
Statistics
I. Statistics in 【T1】______ 【T1】______
A. Irregularities in the balloting: the third-party
candidate Pat Buchanan got 【T2】______of 【T2】______
votes than he did elsewhere.
B. The defendant is guilty or not
- Expert: a. A DNA sample 【T3】______. 【T3】______
b. The possibility of odds is one in
million.
- Defense lawyer: if in a city of three million
people, there are 【T4】______matching each 【T4】______
other’s DNA.
II. Statistics in cases against 【T5】______ 【T5】______
A. Universities add additional points to minority
group students. They unlawfully make a/an
【T6】______for those students. 【T6】______
B.Annie was kept from 【T7】______. Her lawyer 【T7】______
used statistics to show that workers with the same
qualifications who were not in 【T8】______were 【T8】______
promoted.
C. Tobacco companies started to lose cases because
of 【T9】______. 【T9】______
-Statistics should be 【T10】______along with 【T10】______
other evidence.
III.【T11】______ 【T11】______
A. 【T12】______: 【T12】______
- Bert could no longer work.
- Statisticians predict how long he would have
worked and how much he would have made.
B. Multiple regression analysis:
- Statisticians find 【T13】______for all the 【T13】______
sample data when 【T14】______are at work. 【T14】______
IV. Statistics on the witness stand
A. experts know how to 【T15】______ 【T15】______
B. cross examine and challenge the validity of
statistics [br] 【T3】
Statistics
Today, we are going to study on statistics. Firstly, let’s see the effect of statistics in the courtroom. After the November 2000 election, Americans waited while court challenges debated who won Florida’s electoral votes. In Palm Beach County, third-party candidate Pat Buchanan got a higher percentage of votes than he did elsewhere. Was that because the country’s "butterfly ballot" caused many Albert Gore supporters to punch the wrong hole? Lawyers also argued about other claimed irregularities in the balloting.
The Supreme Court finally stopped all vote recounts in early December. But if Gore’s statistical arguments had convinced the judges, he would have become president instead of George W. Bush. More than ever, plaintiffs must often prove their case with numbers. Let’s see how statistics is taking center stage in some other courtroom cases.
Let’s see the first case whether the defendant is guilty or not.
Imagine you’re on the jury in a murder case. An expert testifies about DNA evidence. She says that a sample from the crime scene matches a defendant’s. She also gives the odds that someone else would randomly match the tested fragments. If the odds are one in a million, that makes it sound very likely that the defendant is, in fact, guilty. The defense lawyer may try to counter that by saying that in a city of three million people, at least two others would also probably match. Of course, the defendant was not arrested at random. Almost always, police have some other evidence linking a person to a crime. But the statistics supporting DNA evidence may be just the proof needed to find someone guilty beyond a reasonable doubt.
Now, I would like you to look at the cases against unjust discrimination.
In a U.S. Supreme Court case earlier this year, lawyers argued over whether a state university’s admissions plan unlawfully added points for students from certain minority groups. Statistically, that made it easier for those students to get in. Statistics factors into other discrimination cases, too. Suppose Annie claims that unlawful discrimination kept her from getting a promotion. Her lawyers may use statistics to show that workers with the same qualifications were significantly more likely to get promotions if they were male or not in a minority group. If the employer can’t show that Annie didn’t do her job well, she could then win her case.
Age, family history, exercise habits, diet, weight, and other factors affect the likelihood of developing cancer, heart disease, and other illnesses. For years, tobacco companies said that smoking was not the cause of plaintiffs getting sick. They won most cases against them. Then, judges and juries listened to statistical evidence that even when other factors were equal, smokers had much higher disease risks. Finally, some cases started to hold tobacco companies liable, or legally responsible.
Of course, the plaintiffs had other evidence, too. Tobacco companies’ own documents showed that they knew about disease risks. Yet their ads still targeted young people. In other words, the statistics did not stand alone. When using statistics, it is important to understand that statistical evidence complements other forms of evidence. Statistical evidence should be evaluated along with other evidence and not alone.
And then how can the court work out the compensation the victims should gain? Statistics help add up damages actually. Statistics help decide how much people or companies must pay if they are liable. Suppose a defect in a car caused an accident. As a result, Bert could no longer work. Statistics could show how long Bert would otherwise have worked and how much he probably would have made. When two variables correlate with each other statisticians can often predict one value from another with regression analysis. If someone plotted all the data points on a scatter plot, the analysis would find the line with the best fit through them.
But suppose that people in case claimed that nearby pollution lowered property values for a whole neighborhood. It may be unfair just to match sale prices with distance from the pollution, or to compare average prices with another town. After all, many factors affect property values: style of house, size, age, number of bathrooms, and so forth. That’s where multiple regression analysis can help. It finds the "best fit" for all the sample data when multiple independent variables are at work. It nets out the effects of all these things that are different, so that you are comparing apples to apples.
You will also know that statistics have the power on the witness stand. Good statistical experts make numbers "user-friendly" for the judge and jury. Many use high-tech graphics and other tools to present their conclusions. But ’statistics can be and have been misused, typically when people have interpreted that statistics to mean more than they really do. A good statistician is careful to explain just how reliable the statistics really are. Cross-examination lets each side attack the other side’s analysis flawed. Were data accurate, or may they have been biased? What was the margin of error? Did one unusual observation, or outlier, unfairly affect the outcome?
Finally, the jury weighs statistical evidence along with all the other evidence. The verdict makes a real difference in the lives of parties to a case — and to our justice system.
Today, we’ve talked about the magic of statistics working in various fields and events, like in the court, in the issues against discrimination, in calculating damages and on the testimony. I hope you would have had a good time.
选项
答案
matches defendant’s
解析
细节题。讲座中提到:An expert testifies about DNA evidence.She says that a sample from the crime scene matches a defendant’s.(专家对于DNA证据进行了检测。她表示犯罪现场留存的DNA和被告的相符。)
转载请注明原文地址:https://tihaiku.com/zcyy/3835301.html
相关试题推荐
PASSAGETWO[br]Whatmessagedostatisticsonearningsaftergraduationandcol
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
StatisticsI.Statisticsin【T1】______【T1】______A.Irregularitiesintheballo
随机试题
ThesightofthefruitsaladmadeourdaughterKit’smouth________.A、wetB、wate
[originaltext]W:Youcomefromalonglineofpubliceducators,yetyouhavebe
混合式含气量测定的,不能区分()。A.总含气量 B.集料含气量 C.引入空气
混凝土的徐变是指( )。A、在冲击荷载作用下产生的塑性变形 B、在震动荷载作
维生紊D缺乏性手足搐搦的临床表现,下列答案中错误的是A、喉痉挛 B、手足搐搦
关于免疫反应,下列哪项是错误的A.对传染过程的表现起着重要作用 B.所有免疫反
药物组成中含有黄连、半夏、瓜蒌的方剂是A.二陈汤B.贝母瓜蒌散C.小陷胸汤D.温
母乳血浆中与乳汁中药物浓度接近的药物是A.氯丙嗪 B.红霉素 C.丙咪嗪
雅琴,50多岁,机关干部,丈夫在一家公司工作,收入较高。夫妇俩平时感情不和,现在
发包人与承包人依据《水利水电工程标准施工招标文件》(2009年版)签订了河道整治
最新回复
(
0
)