Solution Manual for Introductory Statistics, 10th Edition Neil A. Weiss

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Table of Contents

PART I: Introduction

1. The Nature of Statistics

Case Study: Top Films of All Time

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs*

1.4 Experimental Designs*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

PART II: Descriptive Statistics

2. Organizing Data

Case Study: Worlds Richest People

2.1 Variables and Data

2.2 Organizing Qualitative Data

2.3 Organizing Quantitative Data

2.4 Distribution Shapes

2.5 Misleading Graphs*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

3. Descriptive Measures

Case Study: The Beatles Song Length

3.1 Measures of Center

3.2 Measures of Variation

3.3 Chebyshevs Rule and the Empirical Rule*

3.4 The Five-Number Summary; Boxplots

3.5 Descriptive Measures for Populations; Use of Samples

Chapter in Review

Review Problems

Focusing on Data

Analysis

Case Study Discussion

Biography

PART III: Probability, Random Variables, and Sampling Distributions

4. Probability Concepts

Case Study: Texas Holdem

4.1 Probability Basics

4.2 Events

4.3 Some Rules of Probability

4.4 Contingency Tables; Joint and Marginal Probabilities*

4.5 Conditional Probability*

4.6 The Multiplication Rule; Independence*

4.7 Bayess Rule*

4.8 Counting Rules*

Chapter in Review 218

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

5. Discrete Random Variables*

Case Study: Aces Wild on the Sixth at Oak Hill

5.1 Discrete Random Variables and Probability Distributions*

5.2 The Mean and Standard Deviation of a Discrete Random Variable*

5.3 The Binomial Distribution*

5.4 The Poisson Distribution*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

6. The Normal Distribution

Case Study: Chest Sizes of Scottish Militiamen

6.1 Introducing Normally Distributed Variables

6.2 Areas under the Standard Normal Curve

6.3 Working with Normally Distributed Variables

6.4 Assessing Normality; Normal Probability Plots

6.5 Normal Approximation to the Binomial Distribution*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

7. The Sampling Distribution of the Sample Mean

Case Study: The Chesapeake and Ohio Freight Study

7.1 Sampling Error; the Need for Sampling Distributions

7.2 The Mean and Standard Deviation of the Sample Mean

7.3 The Sampling Distribution of the Sample Mean

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

PART IV: Inferential Statistics

8. Confidence Intervals for One Population Mean

Case Study: Bank Robberies: A Statistical Analysis

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When s Is Known

8.3 Confidence Intervals for One Population Mean When s Is Unknown

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

9. Hypothesis Tests for One Population Mean

Case Study: Gender and Sense of Direction

9.1 The Nature of Hypothesis Testing

9.2 Critical-Value Approach to Hypothesis Testing

9.3 P-Value Approach to Hypothesis Testing

9.4 Hypothesis Tests for One Population Mean When s Is Known

9.5 Hypothesis Tests for One Population Mean When s Is Unknown

9.6 The Wilcoxon Signed-Rank Test*

9.7 Type II Error Probabilities; Power*

9.8 Which Procedure Should Be Used?**

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

10. Inferences for Two Population Means

Case Study: Dexamethasone Therapy and IQ

10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples

10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal

10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal

10.4 The MannWhitney Test*

10.5 Inferences for Two Population Means, Using Paired Samples

10.6 The Paired Wilcoxon Signed-Rank Test*

10.7 Which Procedure Should Be Used?**

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

11. Inferences for Population Standard Deviations*

Case Study: Speaker Woofer Driver Manufacturing

11.1 Inferences for One Population Standard Deviation*

11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

12. Inferences for Population Proportions

Case Study: Arrested Youths

12.1 Confidence Intervals for One Population Proportion

12.2 Hypothesis Tests for One Population Proportion

12.3 Inferences for Two Population Proportions

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

13. Chi-Square Procedures

Case Study: Eye and Hair Color

13.1 The Chi-Square Distribution

13.2 Chi-Square Goodness-of-Fit Test

13.3 Contingency Tables; Association

13.4 Chi-Square Independence Test

13.5 Chi-Square Homogeneity Test

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

PART V: Regression, Correlation, and ANOVA

14. Descriptive Methods in Regression and Correlation

Case Study: Healthcare: Spending and Outcomes

14.1 Linear Equations with One Independent Variable

14.2 The Regression Equation

14.3 The Coefficient of Determination

14.4 Linear Correlation

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

15. Inferential Methods in Regression and Correlation

Case Study: Shoe Size and Height

15.1 The Regression Model; Analysis of Residuals

15.2 Inferences for the Slope of the Population Regression Line

15.3 Estimation and Prediction

15.4 Inferences in Correlation

15.5 Testing for Normality**

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

16. Analysis of Variance (ANOVA)

Case Study: Self-Perception and Physical Activity

16.1 The F-Distribution

16.2 One-Way ANOVA: The Logic

16.3 One-Way ANOVA: The Procedure

16.4 Multiple Comparisons*

16.5 The KruskalWallis Test*

Chapter in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Biography

PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA**

MODULE A: Multiple Regression Analysis

Case Study: Automobile Insurance Rates

A.1 The Multiple Linear Regression Model

A.2 Estimation of the Regression Parameters

A.3 Inferences Concerning the Utility of the Regression Model

A.4 Inferences Concerning the Utility of Particular Predictor Variables

A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response

A.6 Checking Model Assumptions and Residual Analysis

Module in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Answers to Selected Exercises

Index

MODULE B: Model Building in Regression

Case Study: Automobile Insurance RatesRevisited

B.1 Transformations to Remedy Model Violations

B.2 Polynomial Regression Model

B.3 Qualitative Predictor

B.4 Multicollinearity

B.5 Model Selection: Stepwise Regression

B.6 Model Selection: All-Subsets Regression

B.7 Pitfalls and Warnings

Module in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Answers to Selected Exercises

Index

MODULE C: Design of Experiments and Analysis of Variance

Case Study: Dental Hygiene: Which Toothbrush?

C.1 Factorial Designs

C.2 Two-Way ANOVA: The Logic

C.3 Two-Way ANOVA: The Procedure

C.4 Two-Way ANOVA: Multiple Comparisons

C.5 Randomized Block Designs

C.6 Randomized Block ANOVA: The Logic

C.7 Randomized Block ANOVA: The Procedure

C.8 Randomized Block ANOVA: Multiple Comparisons

C.9 Friedmans Nonparametric Test for the Randomized Block Design

Module in Review

Review Problems

Focusing on Data Analysis

Case Study Discussion

Answers to Selected Exercises

Index

Appendix A: Statistical Tables

Appendix B: Answers to Selected Exercises

Index

Photo Credits

*Indicates optional material.

**Indicates optional material on the WeissStats site.