Student Solutions Manual for Elementary Statistics

Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematics–from the freshman level to the advanced graduate level–for more than 30 years.  In recognition of his excellence in teaching, Dr. Weiss received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He has also been runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss’s comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound.  In addition to his numerous research publications, Dr. Weiss is the author of A Course in Probability (Addison-Wesley, 2006). He has also authored or coauthored books in finite mathematics, statistics, and real analysis, and is currently working on a new book on applied regression analysis and the analysis of variance. His texts–well known for their precision, readability, and pedagogical excellence–are used worldwide.  Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration in the book Introductory Statistics (Addison-Wesley, 1982). He and Pearson Education continue that pioneering spirit to this day.  In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold ’em poker. He is married and has two sons.

• PrefaceSupplementsTechnology ResourcesData Sources  PART I: Introduction  1. The Nature of StatisticsCase Study: Top Films of All Time1.1 Statistics Basics1.2 Simple Random Sampling1.3 Other Sampling Designs∗1.4 Experimental Designs∗Chapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  PART II: Descriptive Statistics  2. Organizing DataCase Study: World’s Richest People2.1 Variables and Data2.2 Organizing Qualitative Data2.3 Organizing Quantitative Data2.4 Distribution Shapes2.5 Misleading Graphs∗Chapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  3. Descriptive MeasuresCase Study: The Beatles’ Song Length3.1 Measures of Center3.2 Measures of Variation3.3 Chebyshev’s Rule and the Empirical Rule∗3.4 The Five-Number Summary; Boxplots3.5 Descriptive Measures for Populations; Use ofSamplesChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  4. Descriptive Methods in Regression and CorrelationCase Study: Healthcare: Spending and Outcomes4.1 Linear Equations with One Independent Variable4.2 The Regression Equation4.3 The Coefficient of Determination4.4 Linear CorrelationChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  PART III: Probability, Random Variables, and Sampling Distributions  5. Probability and Random VariablesCase Study: Texas Hold’em5.1 Probability Basics5.2 Events5.3 Some Rules of Probability5.4 Discrete Random Variables and Probability Distributions∗5.5 The Mean and Standard Deviation of a Discrete Random Variable∗5.6 The Binomial Distribution∗Chapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  6. The Normal DistributionCase Study: Chest Sizes of Scottish Militiamen6.1 Introducing Normally Distributed Variables6.2 Areas under the Standard Normal Curve6.3 Working with Normally Distributed Variables6.4 Assessing Normality; Normal Probability PlotsChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  7. The Sampling Distribution of the Sample MeanCase Study: The Chesapeake and Ohio Freight Study7.1 Sampling Error; the Need for Sampling Distributions7.2 The Mean and Standard Deviation of the Sample Mean7.3 The Sampling Distribution of the Sample MeanChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  PART IV: Inferential Statistics  8. Confidence Intervals for One Population MeanCase Study: Bank Robberies: A Statistical Analysis8.1 Estimating a Population Mean8.2 Confidence Intervals for One Population Mean When σ Is Known8.3 Confidence Intervals for One Population Mean When σ Is UnknownChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  9. Hypothesis Tests for One Population MeanCase Study: Gender and Sense of Direction9.1 The Nature of Hypothesis Testing9.2 Critical-Value Approach to Hypothesis Testing9.3 P-Value Approach to Hypothesis Testing9.4 Hypothesis Tests for One Population Mean When σ Is Known9.5 Hypothesis Tests for One Population Mean When σ Is UnknownChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  10. Inferences for Two Population MeansCase Study: Dexamethasone Therapy and IQ10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal10.4 Inferences for Two Population Means, Using Paired SamplesChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  11. Inferences for Population ProportionsCase Study: Arrested Youths11.1 Confidence Intervals for One Population Proportion11.2 Hypothesis Tests for One Population Proportion11.3 Inferences for Two Population ProportionsChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  12. Chi-Square ProceduresCase Study: Eye and Hair Color12.1 The Chi-Square Distribution12.2 Chi-Square Goodness-of-Fit Test12.3 Contingency Tables; Association12.4 Chi-Square Independence Test12.5 Chi-Square Homogeneity TestChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  13. Analysis of Variance (ANOVA)Case Study: Self-Perception and Physical Activity13.1 The F-Distribution13.2 One-Way ANOVA: The Logic13.3 One-Way ANOVA: The ProcedureChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  14. Inferential Methods in Regression and CorrelationCase Study: Shoe Size and Height14.1 The Regression Model; Analysis of Residuals14.2 Inferences for the Slope of the Population Regression Line14.3 Estimation and Prediction14.4 Inferences in CorrelationChapter in ReviewReview ProblemsFocusing on Data AnalysisCase Study DiscussionBiography  Appendix A: Statistical TablesAppendix B: Answers to Selected ExercisesIndexPhoto Credits  ∗Indicates optional material.