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Introduction To Probability And Statistics

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Students will save time and master non-calculus-based probability and statistics with this powerful study guide. It simplifies difficult theories and focuses on making clear the areas students typically find hardest to understand. The hundreds of problems solved step-by-step make it easier to master even complex statistical problems and get the best grades. Ideal for students in liberal arts, social and health sciences, and education programs. Perfect to supplement class work or for independent study. About the Author: Seymour Lipschutz He is a Ph.D and a Professor of Mathematics in Temple University Table of Content: PART I: CRIPTIVE STATISTICS AND PROBABILITY Chapter 1 Preliminary: Descriptive Statistics Chapter 2 Sets and Counting Chapter 3 Basic Probability Chapter 4 Conditional Probability and Independence Chapter 5 Random Variables Chapter 6 Binomial and Normal Distributions PART II : NFERENTIAL STATISTICS Chapter 7 Sampling Distributions Chapter 8 Confidence Intervals for A Single Population Chapter 9 Hypotheses Tests for A Single Population Chapter 10 Inference for Two Populations Chapter 11 Chi-Square Tests and Analysis of Variance

376 pages, Paperback

First published May 31, 1998

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