ISBN-10:
0201338343
ISBN-13:
9780201338348
Pub. Date:
01/01/1999
Publisher:
Benjamin-Cummings Publishing Company
Elementary Statistics / Edition 4

Elementary Statistics / Edition 4

by Neil A. A. Weiss, N. A. Weiss

Hardcover

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Product Details

ISBN-13: 9780201338348
Publisher: Benjamin-Cummings Publishing Company
Publication date: 01/01/1999
Edition description: Older Edition
Pages: 896
Product dimensions: 8.17(w) x 9.50(h) x 1.56(d)

About the Author

Neil A. Weiss received his Ph.D. from UCLA in 1970 and subsequently accepted an assistant-professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematics—from the freshman level to the advanced graduate level—for more than 30 years. In recognition of his excellence in teaching, he received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. Dr. Weiss’ comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound.

 

In addition to his numerous research publications, Dr. Weiss is the author of A Course in Probability (Addison-Wesley, 2006). He has also authored or coauthored books in finite mathematics, statistics, and real analysis, and is currently working on a new book on applied regression analysis and the analysis of variance. His texts—well known for their precision, readability, and pedagogical excellence—are used worldwide.

 

Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration over 20 years ago in the book Introductory Statistics (Addison-Wesley, 1982). Weiss and Addison-Wesley continue that pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field.

 

In his spare time, Dr.Weiss enjoys walking, studying and practicing meditation, and playing hold ’em poker. He is married and has two sons.

 


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 TheRegression 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 tα

V Values of χα2

VI Values of Fα

VII Binomial probabilities

 

Appendix B Answers to Selected Exercises


*indicates an optinoal section



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