This brief version of the authors' classic text retains the traditional outline for the coverage of descriptive and inferential statistics. The user-friendly presentation includes features such as Key Concepts and Formulas, and helps students grasp the material while not sacrificing the statistical integrity of the subject. MINITAB[trademark] (Versions 12 and 13) is used exclusively as the computer package for statistical analysis in this text.
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1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Analysis of Categorical Data. Appendix. Answers to Selected Exercises. Index.
Written specifically for a one-term course in introductory statistics, this brief version of the authors' text, Introduction to Probability and Statistics, 10th Edition , will help students understand statistical concepts without getting lost in technical jargon. Examples from newspaper and magazine articles demonstrate how statistical techniques a
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