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Used by hundreds of thousands of students since its first edition, Introduction to Probability and Statistics, continues to blend the best of its proven, error-free coverage with new innovations. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology - including computational software and interactive visual tools - to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests and what to do when statistical assumptions have been violated. The new edition retains the statistical integrity, examples, exercises and exposition that have made this text a market leader - and builds upon this tradition of excellence with new technology integration.
Table of Contents
Introduction: What Is Statistics?
Describing Data With Graphs.
Describing Data With Numerical Measures.
Describing Bivariate Data.
Probability And Probability Distributions.
Several Useful Discrete Distributions.
The Normal Probability Distribution.
Sampling Distributions.
Large-Sample Estimation.
Large-Sample Tests Of Hypotheses.
Inference From Small Samples.
The Analysis Of Variance.
Linear Regression And Correlation.
Multiple Regression Analysis.
Analysis Of Categorical Data.
Nonparametric Statistics.
Appendix I: Tables.
Answers To Selected Exercises.ISBN - 9788131525487
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