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Elementary Statistics: Picturing the World describes the world through statistics using stepped-out instruction, extensive real-life examples and exercises, and design that fits content to each page makes the material more digestible. The authors' combination of theory, teaching and learning aids, and design helps you understand concepts and use statistics to describe and think about our world.
Contents
NOTE: Each chapter begins with "Where You've Been" and "Where You're Going" features. Each chapter concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test. I. DESCRIPTIVE STATISTICS
Introduction to Statistics
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
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
Cumulative Review: Chapters 1 & 2
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
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
Discrete Probability Distributions
4.1 Probability Distributions
4.2 Binomial Distributions
4.3 More Discrete Probability Distributions
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
Cumulative Review: Chapters 3-5
III. STATISTICAL INFERENCE
Confidence Intervals
6.1 Confidence Intervals for the Mean (Known)
6.2 Confidence Intervals for the Mean (Unknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard Deviation
Hypothesis Testing with One Sample
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean (Known)
7.3 Hypothesis Testing for the Mean (Unknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard Deviation
Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known)
8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions
Cumulative Review: Chapters 6-8
IV. MORE STATISTICAL INFERENCE
Correlation and Regression
9.1 Correlation
9.2 Linear Regression
9.3 Measures of Regression and Prediction Intervals
9.4 Multiple Regression
Chi-Square Tests and theF-Distribution
10.1 Goodness-of-Fit Test
10.2 Independence
10.3 Comparing Two Variances
10.4 Analysis of Variance
Cumulative Review: Chapters 9 & 10
Nonparametric Tests (Online 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 in MyLab Statistics.
Appendix A: Alternative Presentation of the Standard Normal Distribution
Standard Normal Distribution Table
Alternative Presentation of the Standard Normal Distribution
Appendix B: Tables
Table 1 Random Numbers
Table 2 Binomial Distribution
Table 3 Poisson Distribution
Table 4 Standard Normal Distribution
Table 5 t-Distribution
Table 6 Chi-Square Distribution
Table 7 F-Distribution
Table 8 Critical Values for the Sign Test
Table 9 Critical Values for the Wilcoxon Signed-Rank Test
Table 10 Critical Values for the Spearman Rank Correlation Coefficient
Table 11 Critical Values for the Pearson Correlation Coefficient
Table 12 Critical Values for the Number of Runs
Appendix C: Normal Probability Plots Appendix D: Key Formulas Answers to the Try It Yourself Exercises Answers to the Odd-Numbered Exercises Index
