Ebook Statistics (13/E): Part 2
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Ebook Statistics (13/E): Part 2
www.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparing Ebook Statistics (13/E): Part 2g Two Population Means: Independent Sampling9.3Comparing Two Population Means: Paired Difference Experiments9.4Comparing Two Population Proportions: Independent Sampling9.5Determining the Sample Size9.6Comparing Two Population Variances: Independent Sampling (Optional)Where We’ve Been•Explored two m Ebook Statistics (13/E): Part 2ethods for making statistical inferences: confidence intervals and tests of hypotheses•Studied confidence intervals and tests for a single populationEbook Statistics (13/E): Part 2
mean fl. a single population proportion p, and a single population varianceEbook Statistics (13/E): Part 2
ctionZixlt Corp. V. Visa USA Inc.—A Libel CaseThe National Law Journal (Aug. 26-Sept. 2. 2002) reported on an interesting court case in volving Zixlt www.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparing Ebook Statistics (13/E): Part 2to make purchases without revealing their credit card numbers. This claim violated the established protocols of most major credit card companies, including Visa. Without the company’s knowledge, a Visa vice president for technology research and development began writing e-mails and Web site postings Ebook Statistics (13/E): Part 2 on a Yahoo! message board for Zixlt investors, challenging Zixlt’s claim and urging investors to sell their Zixlt stock. The Visa executive posted ovEbook Statistics (13/E): Part 2
er 40(1 e-mail and notes before he was caught. Once it was discovered that a Visa executive was responsible for the postings. Zixlt filed a lawsuit agwww.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparing Ebook Statistics (13/E): Part 2xlfand its efforts to market the new online credit card processing system. In the libel case Zixlt asked for S699 million in damages.Dallas lawyers Jeff Tillotson and Mike Lynn, of the law firm Lynn Tillotson & Pinker, were hired to defend Visa in the lawsuit.The lawyens.in turn.hired Dr. James McCl Ebook Statistics (13/E): Part 2ave (co-author of this text) as their expert statistician. McClave testified in court on an "event study’’ he did matching the Visa executives e-mailEbook Statistics (13/E): Part 2
postings with movement of Zixlt's stock price the next business day. McClave’s testimony.showing that there was an equal number of days when the stockwww.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparing Ebook Statistics (13/E): Part 2nd a half days of deliberation, "the jurors found [theVisa executive) was not acting in the scope of his employment and that Visa had not defamed Zixlt or interferedwith its business.”In this chapter, we demonstrate several of the statistical analyses McClave used to infer that the Visa executive's Ebook Statistics (13/E): Part 2postings had no effect on Zixlt’s slock price. The daily Zixlt stock prices as well as the timing of the Visa executive’s postings are saved in the ZIEbook Statistics (13/E): Part 2
XITVISA file.* We apply the statistical methodology presented in this chapter to this data set in two Statistics in Action Revisited examples.Statistiwww.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparing Ebook Statistics (13/E): Part 2xperiments involve a comparison of two populations. For instance, a sociologist may want to estimate the difference in mean life expectancy between inner-city and suburban residents. Or a consumer group may want to lest whether two major brands of food freezers differ in the average amount of electr Ebook Statistics (13/E): Part 2icity they use. Or a political candidate might want to estimate the difference in the proportions of voters in two districts who favor her candidacy.Ebook Statistics (13/E): Part 2
Or a professional golfer might be interested in comparing the variability in the distance that two competing brands of golf balls travel when struck wwww.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2Comparingwww.downloadslide.netInferences Based on TwoSamplesConfidence Intervals and Tests of HypothesesCONTENTS9.1Identifying the Target Parameter9.2ComparingGọi ngay
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