Statistically Assessing Effectiveness of a Gas Additive
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A 6 page paper offering a study design for assessing the claims of the manufacturer of a gas additive that users will achieve a minimum of 25 percent increased fuel efficiency with the use of its product. The purpose here is to identify appropriate statistical tests of data, including ANOVA, Chi-square and similar statistical techniques.. Bibliography lists 4 sources.
Filename: KSstatBizGasAdd.rtf

Statistically Assessing Quality at Wilson Tire
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A 6 page paper finding the design shortcomings of a test of tire longevity and discussing appropriate statistical measures that should be used. Winston Tire Company claims its new tires last for 40,000 miles. This is presented not as a guarantee of minimum mileage purchasers can expect, but rather as an average. An independent agency road-tested 100 tires in an effort to evaluate the company’s claims, creating a sample of n = 100. An independent testing agency has tested Wilson tires and found them lacking, but the truth is that the study is so poorly designed that the agency cannot make any definitive determination about the quality of Wilson tires. The purpose here is to identify appropriate statistical tests of data. Bibliography lists 4 sources.
Filename: KSstatBizWilson.rtf

Statistically Assessing Typing Speeds
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A 6 page paper presenting ANOVA analysis of three sets of data addressing environmental conditions in which data entry personnel work. After testing, the company's owner decides she will forego the music but will bring a coffee service into the office. The pro-music contingent is disappointed, but they agree with the decision based on results. Though there is less variation when typists have rock music in the background, per-minute speed is much greater when individuals are working in silence as they do their work while drinking more easily-obtainable coffee. Bibliography lists 3 sources.
Filename: KSstatANOVAx3.rtf

Statistics Multiple Choice
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5 pages answering 26 multiple-choice review questions addressing items such as sum, mean, mode, median, scale, skewness. Bibliography lists 2 sources.
Filename: KSstatsMultChoice.rtf

Statistics Multiple Choice 2
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3 pages answering 11 multiple-choice review questions addressing items such as variance and standard deviation. Bibliography lists 3 sources.
Filename: KSstatMultCho2.rtf

Statistics Overview
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A 5 page paper discussing the science of statistics and its use in today's environment. The study and use of statistics must be done in such a way that an accurate view results from statistical manipulation. Some statistical errors are benign and result primarily from ignorance or poor research design. Others, however, are intentionally promoted for the purpose of "proving" a desired outcome. Bibliography lists 7 sources.
Filename: KSstatistics.wps

Statistics Questions
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A 5 page paper answering 4 general statistics questions associated with social research. Topics include correlation vs causation; interpreting correlation; dealing with outliers in regression analysis; and evaluating the wisdom of researcher-coding of open-ended questions in a qualitative study. Bibliography lists 5 sources.
Filename: KSstatsRegQu.rtf

Statistics Questions
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A 7 page paper answering six general statistics questions, such as “When should you use an ANOVA (analysis of variance) and when should you use linear regression?” and “What are the appropriate univariate, analytical and inferential statistics to use with data measured at the nominal and ordinal levels?” Bibliography lists 4 sources.
Filename: KSstatsQues.rtf

Statistics Questions
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A series of statistics questions answered in 15 pages. Topics include standard scores, correlation, linear regression, random sampling and probability, sign test, t-tests, chi-square and hypothesis testing and significance. Bibliography lists 5 sources.
Filename: KSstatsQues5.rtf

Statistics Questions (Week Two)
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A 7 page paper answering four statistics questions focusing on ANOVA problems. Problem topics include ABC Corporation and Riverside, CA employment; trash bag strength; ColorSmart-5000 televisions; and a comparison between the records of Arnold Palmer and Tiger Woods. Bibliography lists 3 sources.
Filename: KSstatsWk2Ques.rtf