ISBN13:978-0073251639 ISBN10: 0073251631 This edition has also been released as: ISBN13: 978-0073048253 ISBN10: 0073048259
Summary: New Features
Many elements in the book were updated based on newer, real data. New "Speaking of Statistics", "Critical Thinking Challenges", "Statistics Today", and worked examples were added to this edition.
300 new exercises most based on actual data were added to the book. Additionally, many exercises were rewritten asking students to interpret the results th...show moreey just found.
A new feature, "Applying the Concepts" was added to each section and appears prior to each exercise set. Most contain open-ended questions that require critical thinking and interpretation. "Applying the Concepts" can be used for homework assignments or used as topics for in-class discussion or group work.
...show lessEdition/Copyright: 6TH 07 Cover: Hardback Publisher: McGraw-Hill Publishing Company Published: 01/01/2005 International: No
View Table of Contents
1 The Nature of Probability and Statistics
1-1 Introduction 1-2 Descriptive and Inferential Statistics 1-3 Variables and Types of Data 1-4 Data Collection and Sampling Techniques 1-5 Observational and Experimental Studies 1-6 Uses and Misuses of Statistics 1-7 Computers and Calculators 1-8 Summary
2 Frequency Distributions and Graphs
2-1 Introduction 2-2 Organizing Data 2-3 Histograms, Frequency Polygons, and Ogives 2-4 Other Types of Graphs 2-5 Summary
3 Data Description
3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis 3-6 Summary
4 Probability and Counting Rules
4-1 Introduction 4-2 Sample Spaces and Probability 4-3 The Addition Rules for Probability 4-4 The Multiplication Rules and Conditional Probability 4-5 Counting Rules 4-6 Probability and Counting Rules 4-7 Summary
5 Discrete Probability Distributions
5-1 Introduction 5-2 Probability Distributions 5-3 Mean, Variance, Standard Deviation, and Expectation 5-4 The Binomial Distribution 5-5 Other Types of Distributions (Optional) 5-6 Summary
6 The Normal Distribution
6-1 Introduction 6-2 Properties of the Normal Distribution 6-3 The Standard Normal Distribution 6-4 Applications of the Normal Distribution 6-5 The Central Limit Theorem 6-6 The Normal Approximation to the Binomial Distribution 6-7 Summary
7 Confidence Intervals and Sample Size
7-1 Introduction 7-2 Confidence Intervals for the Mean (s Known or n³30) and Sample Size 7-3 Confidence Intervals for the Mean (s Unknown or n<30) 7-4 Confidence Intervals and Sample Size for Proportions 7-5 Confidence Intervals for Variances and Standard Deviations 7-6 Summary
8 Hypothesis Testing
8-1 Introduction 8-2 Steps in Hypothesis Testing - Traditional Method 8-3 z Test for a Mean 8-4 t Test for a Mean 8-5 z Test for a Proportion 8-6 Chi Square test for a Variance or Standard Deviation 8-7 Additional Topics Regarding Hypothesis Testing 8-8 Summary
9 Testing the Difference Between Two Means, Two Variances, and Two Proportions
9-1 Introduction 9-2 Testing the Difference Between Two Means: Large Samples 9-3 Testing the Difference Between Two Variances 9-4 Testing the Difference Between Two Means: Small Independent Samples 9-5 Testing the Difference Between Two Means: Small Dependent Samples 9-6 Testing the Difference Between Proportions 9-7 Summary
10 Correlation and Regression
10-1 Introduction 10-2 Scatter Plots 10-3 Correlation 10-4 Regression 10-5 Coefficient of Determination and Standard Error of the Estimate 10-6 Multiple Regression (Optional) 10-7 Summary
11 Other Chi-Square Tests
11-1 Introduction 11-2 Test for Goodness of Fit 11-3 Tests Using Contingency Tables 11-4 Summary
12 Analysis of Variance
12-1 Introduction 12-2 One-Way Analysis of Variance 12-3 The Scheffé Test and the Tukey Test 12-4 Two-Way Analysis of Variance 12-5 Summary
13 Nonparametric Statistics
13-1 Introduction 13-2 Advantages and Disadvantages of Nonparametric Methods 13-3 The Sign Test 13-4 The Wilcoxon Rank Sum Test 13-5 The Wilcoxon Signed-Rank Test 13-6 The Kruskal-Wallis Test 13-7 The Spearman Rank Correlation Coefficient and the Runs Test 13-8 Summary
14 Sampling and Simulation
14-1 Introduction 14-2 Common Sampling Techniques 14-3 Surveys and Questionnaire Design 14-4 Simulation Techniques 14-5 The Monte Carlo Method 14-6 Summary
Appendix A: Algebra Review Appendix B-1: Writing the Research Report Appendix B-2: Bayes's Theorem Appendix B-3: Alternate Method for the Standard Normal Distribution Appendix C: Tables Appendix D: Data Bank Appendix E: Glossary Appendix F: Bibliography Appendix G: Photo Credits Appendix H: Selected Answers
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