Elementary statistics : using the TI-83/84 Plus calculator

著者

書誌事項

Elementary statistics : using the TI-83/84 Plus calculator

Mario F. Triola

Pearson Addison-Wesley, c2008

2nd ed

タイトル別名

Elementary statistics : using the graphing calculator

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注記

Rev. ed. of: Elementary statistics using the graphing calculator. c2005

Includes index

内容説明・目次

内容説明

Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition, guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. This text features an engaging writing style, an abundance of relevant exercises with real data, and an emphasis on interpretation of statistical results. In addition, this text provides extensive instruction on using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the calculator. Elementary Statistics Using the Graphing Calculator is written for a one-semester introductory statistics course in which the TI-83 or TI-84 Plus graphing calculator is used. It is appropriate for students majoring in any field. Completion of an elementary algebra course is recommended, but not required, because the use of algebra in the text is minimal. Datasets and other resources (where applicable) for this book are available here.

目次

1. Introduction to Statistics Overview Types of Data Critical Thinking Design of Experiments Introduction to the TI-83/84 Plus Calculator 2. Summarizing and Graphing Data Overview Frequency Distributions Histograms Statistical Graphics 3. Statistics for Describing, Exploring, and Comparing Data Overview Measures of Center Measures of Variation Measures of Relative Standing Exploratory Data Analysis (EDA) 4. Probability Overview Fundamentals Addition Rule Multiplication Rule: Basics Multiplication Rule: Complements and Conditional Probability Probabilities Through Simulations Counting Bayes' Theorem (on CD-ROM) 5. Probability Distributions Overview Random Variables Binomial Probability Distributions Mean, Variance, and Standard Deviation for the Binomial Distribution The Poisson Distribution 6. Normal Probability Distributions Overview The Standard Normal Distribution Applications of Normal Distributions Sampling Distributions and Estimators The Central Limit Theorem Normal as Approximation to Binomial Assessing Normality 7. Estimates and Sample Sizes Overview Estimating a Population Proportion Estimating a Population Mean: s Known Estimating a Population Mean: s Not Known Estimating a Population Variance 8. Hypothesis Testing Overview Basics of Hypothesis Testing Testing a Claim About a Proportion Testing a Claim About a Mean: s Known Testing a Claim About a Mean: s Not Known Testing a Claim About Variation 9. Inferences from Two Samples Overview Inferences About Two Proportions Inferences About Two Means: Independent Samples Inferences from Matched Pairs Comparing Variation in Two Samples 10. Correlation and Regression Overview Correlation Regression Variation and Prediction Intervals Multiple Regression Modeling 11. Multinomial Experiments and Contingency Tables Overview Multinomial Experiments: Goodness-of-Fit Contingency Tables: Independence and Homogeneity McNemar's Test for Matched Pairs 12. Analysis of Variance Overview One-Way ANOVA Two-Way ANOVA 13. Nonparametric Statistics Overview Sign Test Wilcoxon Signed-Ranks Test for Matched Pairs Wilcoxon Rank-Sum Test for Two Independent Samples Kruskal-Wallis Test Rank Correlation Runs Test for Randomness 14. Statistical Process Control Overview Control Charts for Variation and Mean Control Charts for Attributes 15. Projects, Procedures, Perspectives Projects Procedures Perspectives Appendices Appendix A: Tables Appendix B: Data Sets Appendix C: Glossary Appendix D: Bibliography Appendix E: Answers to Odd-Numbered Exercises (and all Review Exercises and all Cumulative Review Exercises) Credits Index

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