Overview

Full Product Details

Author:   Ron Larson ,  Betsy Farber
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   7th edition
Dimensions:   Width: 21.50cm , Height: 1.00cm , Length: 27.50cm
Weight:   1.390kg
ISBN:  

9781292260600

ISBN 10:   1292260602
Publication Date:   29 March 2019
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Mixed media product
Publisher's Status:   Active
Availability:   Available To Order  
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

I. DESCRIPTIVE STATISTICS 1. Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Data Collection and Experimental Design 2. Descriptive Statistics 2.1 Frequency Distributions and Their Graphs 2.2 More Graphs and Displays 2.3 Measures of Central Tendency 2.4 Measures of Variation 2.5 Measures of Position II. PROBABILITY AND PROBABILITY DISTRIBUTIONS 3. Probability 3.1 Basic Concepts of Probability and Counting 3.2 Conditional Probability and the Multiplication Rule 3.3 The Addition Rule 3.4 Additional Topics in Probability and Counting 4. Discrete Probability Distributions 4.1 Probability Distributions 4.2 Binomial Distributions 4.3 More Discrete Probability Distributions 5. Normal Probability Distributions 5.1 Introduction to Normal Distributions and the Standard Normal Distribution 5.2 Normal Distributions: Finding Probabilities 5.3 Normal Distributions: Finding Values 5.4 Sampling Distributions and the Central Limit Theorem 5.5 Normal Approximations to Binomial Distributions III. STATISTICAL INFERENCE 6. Confidence Intervals 6.1 Confidence Intervals for the Mean (S Known) 6.2 Confidence Intervals for the Mean (S Unknown) 6.3 Confidence Intervals for Population Proportions 6.4 Confidence Intervals for Variance and Standard Deviation 7. Hypothesis Testing with One Sample 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (S Known) 7.3 Hypothesis Testing for the Mean (S Unknown) 7.4 Hypothesis Testing for Proportions 7.5 Hypothesis Testing for Variance and Standard Deviation 8. Hypothesis Testing with Two Samples 8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known) 8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown) 8.3 Testing the Difference Between Means (Dependent Samples) 8.4 Testing the Difference Between Proportions IV. MORE STATISTICAL INFERENCE 9. Correlation and Regression 9.1 Correlation 9.2 Linear Regression 9.3 Measures of Regression and Prediction Intervals 9.4 Multiple Regression 10. Chi-Square Tests and the F -Distribution 10.1 Goodness-of-Fit Test 10.2 Independence 10.3 Comparing Two Variances 10.4 Analysis of Variance 11. Nonparametric Tests (Web and MyLab Statistics Only)* 11.1 The Sign Test 11.2 The Wilcoxon Tests 11.3 The Kruskal-Wallis Test 11.4 Rank Correlation 11.5 The Runs Test * Available at www.pearson.com/math-stats-resources and in MyLab Statistics. APPENDICES Appendix A: Alternative Presentation of the Standard Normal Distribution Appendix B: Tables Appendix C: Normal Probability Plots

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions