This book is designed for an introductory course in statistics. The mathematical prerequisite is basic algebra. In addition to presenting the mechanics of the subject, we have endeavored to explain the concepts behind them, in a writing style as straightforward, clear, and engaging as we could make it. As practicing statisticians, we have done everything possible to ensure that the material presented is accurate and correct. We believe that this book will enable instructors to explore statistical concepts in depth yet remain easy for students to read and understand.
Author(s): William Cyrus Navidi, Barry J Monk
Edition: 3
Publisher: McGraw-Hill Education
Year: 2019
Language: English
Commentary: Uploaded by Sergio
Pages: 810
City: 2 Penn Plaza, New York, NY 10121
Tags: statistics, math, stats, william, navidi
Cover
Elementary Statistics
Dedication
About the Authors
Brief Contents
Contents
Preface
New in This Edition
Acknowledgments
Index of Applications
Chapter 1: Basic Ideas
1.1 Sampling
1.2 Types of Data
1.3 Design of Experiments
1.4 Bias in Studies
Chapter 1 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 2: Graphical Summaries of Data
2.1 Graphical Summaries for Qualitative Data
2.2 Frequency Distributions and Their Graphs
2.3 More Graphs for Quantitative Data
2.4 Graphs Can Be Misleading
Chapter 2 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 3: Numerical Summaries of Data
3.1 Measures of Center
3.2 Measures of Spread
3.3 Measures of Position
Chapter 3 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 4: Summarizing Bivariate Data
4.1 Correlation
4.2 The Least-Squares Regression Line
4.3 Features and Limitations of the Least-Squares Regression Line
Chapter 4 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 5: Probability
5.1 Basic Concepts of Probability
5.2 The Addition Rule and the Rule of Complements
5.3 Conditional Probability and the Multiplication Rule
5.4 Counting
Chapter 5 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 6: Discrete Probability Distributions
6.1 Random Variables
6.2 The Binomial Distribution
6.3 The Poisson Distribution
Chapter 6 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 7: The Normal Distribution
7.1 The Standard Normal Curve
7.2 Applications of the Normal Distribution
7.3 Sampling Distributions and the Central Limit Theorem
7.4 The Central Limit Theorem for Proportions
7.5 The Normal Approximation to the Binomial Distribution
7.6 Assessing Normality
Chapter 7 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 8: Confidence Intervals
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown
8.3 Confidence Intervals for a Population Proportion
8.4 Confidence Intervals for a Standard Deviation
8.5 Determining Which Method to Use
Chapter 8 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 9: Hypothesis Testing
9.1 Basic Principles of Hypothesis Testing
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
9.4 Hypothesis Tests for Proportions
9.5 Hypothesis Tests for a Standard Deviation
9.6 Determining Which Method to Use
9.7 Power
Chapter 9 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 10: Two-Sample Confidence Intervals
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
10.2 Confidence Intervals for the Difference Between Two Proportions
10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples
Chapter 10 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 11: Two-Sample Hypothesis Tests
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
11.2 Hypothesis Tests for the Difference Between Two Proportions
11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples
11.4 Hypothesis Tests for Two Population Standard Deviations
11.5 The Multiple Testing Problem
Chapter 11 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 12: Tests with Qualitative Data
12.1 Testing Goodness of Fit
12.2 Tests for Independence and Homogeneity
Chapter 12 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 13: Inference in Linear Models
13.1 Inference on the Slope of the Regression Line
13.2 Inference About the Response
13.3 Multiple Regression
Chapter 13 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 14: Analysis of Variance
14.1 One-Way Analysis of Variance
14.2 Two-Way Analysis of Variance
Chapter 14 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Chapter 15: Nonparametric Statistics
15.1 The Sign Test
15.2 The Rank-Sum Test
15.3 The Signed-Rank Test
Chapter 15 Summary
Vocabulary and Notation
Chapter Quiz
Review Exercises
Appendix A: Tables
Appendix B: TI-84 PLUS Stat Wizards
Answers to Odd-Numbered Exercises (Student edition only)
Index
