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by Neil Weiss

Edition: 7TH 08Copyright: 2008

Publisher: Addison-Wesley Longman, Inc.

Published: 2008

International: No

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Preface

Supplements List

Data Sources

PART I INTRODUCTION

Chapter 1 The Nature of Statistics

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs

1.4 Experimental Designs

PART II DESCRIPTIVE STATISTICS

Chapter 2 Organizing Data

2.1 Variables and Data

2.2 Grouping Data

2.3 Graphs and Charts

2.4 Distribution Shapes

2.5 Misleading Graphs

Chapter 3 Descriptive Measures

3.1 Measures of Center

3.2 Measures of Variation

3.3 The Five-Number Summary; Boxplots

3.4 Descriptive Measures for Populations; Use of Samples

Chapter 4 Descriptive Methods in Regression and Correlation

4.1 Linear Equations With One Independent Variable

4.2 The Regression Equation

4.3 The Coefficient of Determination

4.4 Linear Correlation

PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS

Chapter 5 Probability and Random Variables

5.1 Probability Basics

5.2 Events

5.3 Some Rules of Probability

5.4 Discrete Random Variables and Probability Distributions

5.5 The Mean and Standard Deviation of a Discrete Random Variable

5.6 The Binomial Distribution

Chapter 6 The Normal Distribution

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

Chapter 7 The Sampling Distribution of the Sample Mean

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

PART IV INFERENTIAL STATISTICS

Chapter 8 Confidence Intervals for One Population Mean

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When ? is Known

8.3 Margin of Error

8.4 Confidence Intervals for One Population Mean When ? is Unknown

Chapter 9 Hypothesis Tests for One Population Mean

9.1 The Nature of Hypothesis Testing

9.2 Terms, Errors, and Hypotheses

9.3 Hypothesis Tests for One Population Mean When ? is Known

9.4 P-Values

9.5 Hypothesis Tests for One Population Mean When ? is Unknown

Chapter 10 Inferences for Two Population Means

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 Inferences for Two Population Means, Using Paired Samples

Chapter 11 Inferences for Population Proportions

11.1 Confidence Intervals for One Population Proportion

11.2 Hypothesis Tests for One Population Proportion

11.3 Inferences for Two Population Proportions

Chapter 12 Chi-Square Procedures

12.1 The Chi-Square Distribution

12.2 Chi-Square Goodness-of-Fit Test

12.3 Contingency Tables; Association

12.4 Chi-Square Independence Test

Chapter 13 Analysis of Variance (ANOVA)

13.1 The F-Distribution

13.2 One-Way ANOVA: The Logic

13.3 One-Way ANOVA: The Procedure

Chapter 14 Inferential Methods in Regression and Correlation

14.1 The Regression Model; Analysis of Residuals

14.2 Inferences for the Slope of the Population Regression Line

14.3 Estimation and Prediction

14.4 Inferences in Correlation

APPENDIXES

Appendix A Statistical Tables

I Random numbers

II Areas under the standard normal curve

III Normal scores

IV Values of t?

V Values of ??2

VI Values of F?

VII Binomial probabilities

Appendix B Answers to Selected Exercises

shop us with confidence

Table of Contents

Preface

Supplements List

Data Sources

PART I INTRODUCTION

Chapter 1 The Nature of Statistics

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs

1.4 Experimental Designs

PART II DESCRIPTIVE STATISTICS

Chapter 2 Organizing Data

2.1 Variables and Data

2.2 Grouping Data

2.3 Graphs and Charts

2.4 Distribution Shapes

2.5 Misleading Graphs

Chapter 3 Descriptive Measures

3.1 Measures of Center

3.2 Measures of Variation

3.3 The Five-Number Summary; Boxplots

3.4 Descriptive Measures for Populations; Use of Samples

Chapter 4 Descriptive Methods in Regression and Correlation

4.1 Linear Equations With One Independent Variable

4.2 The Regression Equation

4.3 The Coefficient of Determination

4.4 Linear Correlation

PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS

Chapter 5 Probability and Random Variables

5.1 Probability Basics

5.2 Events

5.3 Some Rules of Probability

5.4 Discrete Random Variables and Probability Distributions

5.5 The Mean and Standard Deviation of a Discrete Random Variable

5.6 The Binomial Distribution

Chapter 6 The Normal Distribution

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

Chapter 7 The Sampling Distribution of the Sample Mean

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

PART IV INFERENTIAL STATISTICS

Chapter 8 Confidence Intervals for One Population Mean

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When ? is Known

8.3 Margin of Error

8.4 Confidence Intervals for One Population Mean When ? is Unknown

Chapter 9 Hypothesis Tests for One Population Mean

9.1 The Nature of Hypothesis Testing

9.2 Terms, Errors, and Hypotheses

9.3 Hypothesis Tests for One Population Mean When ? is Known

9.4 P-Values

9.5 Hypothesis Tests for One Population Mean When ? is Unknown

Chapter 10 Inferences for Two Population Means

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 Inferences for Two Population Means, Using Paired Samples

Chapter 11 Inferences for Population Proportions

11.1 Confidence Intervals for One Population Proportion

11.2 Hypothesis Tests for One Population Proportion

11.3 Inferences for Two Population Proportions

Chapter 12 Chi-Square Procedures

12.1 The Chi-Square Distribution

12.2 Chi-Square Goodness-of-Fit Test

12.3 Contingency Tables; Association

12.4 Chi-Square Independence Test

Chapter 13 Analysis of Variance (ANOVA)

13.1 The F-Distribution

13.2 One-Way ANOVA: The Logic

13.3 One-Way ANOVA: The Procedure

Chapter 14 Inferential Methods in Regression and Correlation

14.1 The Regression Model; Analysis of Residuals

14.2 Inferences for the Slope of the Population Regression Line

14.3 Estimation and Prediction

14.4 Inferences in Correlation

APPENDIXES

Appendix A Statistical Tables

I Random numbers

II Areas under the standard normal curve

III Normal scores

IV Values of t?

V Values of ??2

VI Values of F?

VII Binomial probabilities

Appendix B Answers to Selected Exercises

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2008

International: No

Published: 2008

International: No

Preface

Supplements List

Data Sources

PART I INTRODUCTION

Chapter 1 The Nature of Statistics

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs

1.4 Experimental Designs

PART II DESCRIPTIVE STATISTICS

Chapter 2 Organizing Data

2.1 Variables and Data

2.2 Grouping Data

2.3 Graphs and Charts

2.4 Distribution Shapes

2.5 Misleading Graphs

Chapter 3 Descriptive Measures

3.1 Measures of Center

3.2 Measures of Variation

3.3 The Five-Number Summary; Boxplots

3.4 Descriptive Measures for Populations; Use of Samples

Chapter 4 Descriptive Methods in Regression and Correlation

4.1 Linear Equations With One Independent Variable

4.2 The Regression Equation

4.3 The Coefficient of Determination

4.4 Linear Correlation

PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS

Chapter 5 Probability and Random Variables

5.1 Probability Basics

5.2 Events

5.3 Some Rules of Probability

5.4 Discrete Random Variables and Probability Distributions

5.5 The Mean and Standard Deviation of a Discrete Random Variable

5.6 The Binomial Distribution

Chapter 6 The Normal Distribution

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

Chapter 7 The Sampling Distribution of the Sample Mean

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

PART IV INFERENTIAL STATISTICS

Chapter 8 Confidence Intervals for One Population Mean

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When ? is Known

8.3 Margin of Error

8.4 Confidence Intervals for One Population Mean When ? is Unknown

Chapter 9 Hypothesis Tests for One Population Mean

9.1 The Nature of Hypothesis Testing

9.2 Terms, Errors, and Hypotheses

9.3 Hypothesis Tests for One Population Mean When ? is Known

9.4 P-Values

9.5 Hypothesis Tests for One Population Mean When ? is Unknown

Chapter 10 Inferences for Two Population Means

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 Inferences for Two Population Means, Using Paired Samples

Chapter 11 Inferences for Population Proportions

11.1 Confidence Intervals for One Population Proportion

11.2 Hypothesis Tests for One Population Proportion

11.3 Inferences for Two Population Proportions

Chapter 12 Chi-Square Procedures

12.1 The Chi-Square Distribution

12.2 Chi-Square Goodness-of-Fit Test

12.3 Contingency Tables; Association

12.4 Chi-Square Independence Test

Chapter 13 Analysis of Variance (ANOVA)

13.1 The F-Distribution

13.2 One-Way ANOVA: The Logic

13.3 One-Way ANOVA: The Procedure

Chapter 14 Inferential Methods in Regression and Correlation

14.1 The Regression Model; Analysis of Residuals

14.2 Inferences for the Slope of the Population Regression Line

14.3 Estimation and Prediction

14.4 Inferences in Correlation

APPENDIXES

Appendix A Statistical Tables

I Random numbers

II Areas under the standard normal curve

III Normal scores

IV Values of t?

V Values of ??2

VI Values of F?

VII Binomial probabilities

Appendix B Answers to Selected Exercises