Elementary Statistics: A Step By Step Approach with MathZone and Smart CD - Rilegato

Bluman, Allan

Rilegato

ISBN 10: 0073215872 ISBN 13: 9780073215877

Casa editrice: McGraw-Hill Education, 2005

Riassunto

ELEMENTARY STATISTICS: A STEP BY STEP APPROACH is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition features increased emphasis on Excel, MINITAB, and the TI-83 Plus graphing calculator, computing technologies commonly used in such coureses.

Su questo libro

L'autore:

Allan G. Bluman is a professor emeritus at the Community College of Allegheny County, South Campus, near Pittsburgh. He has taught mathematics and statistics for over 35 years. He received an Apple for the Teacher award in recognition of his bringing excellence to the learning environment at South Campus. He has also taught statistics for Penn State University at the Greater Allegheny (McKeesport) Campus and at the Monroeville Center. He received his master's and doctor's degrees from the University of Pittsburgh.

In addition to Elementary Statistics: A Step by Step Approach (Eighth Edition ï¿2012) and Elementary Statistics: A Brief Version (Fifth Edition ï¿2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ï¿2011). Al also the author of for mathematics books in the McGraw-Hill DeMystified Series. They are Pre-Algebra, Math Word Problems, Business Math, and Probability.

Al Bluman is married and has two sons and a granddaughter.

Contenuti:

1 The Nature of Probability and Statistics

1-1 Introduction

1-2 Descriptive and Inferential Statistics

1-3 Variables and Types of Data

1-4 Data Collection and Sampling Techniques

1-5 Observational and Experimental Studies

1-6 Uses and Misuses of Statistics

1-7 Computers and Calculators

1-8 Summary

2 Frequency Distributions and Graphs

2-1 Introduction

2-2 Organizing Data

2-3 Histograms, Frequency Polygons, and Ogives

2-4 Other Types of Graphs

2-5 Summary

3 Data Description

3-1 Introduction

3-2 Measures of Central Tendency

3-3 Measures of Variation

3-4 Measures of Position

3-5 Exploratory Data Analysis

3-6 Summary

4 Probability and Counting Rules

4-1 Introduction

4-2 Sample Spaces and Probability

4-3 The Addition Rules for Probability

4-4 The Multiplication Rules and Conditional Probability

4-5 Counting Rules

4-6 Probability and Counting Rules

4-7 Summary

5 Discrete Probability Distributions

5-1 Introduction

5-2 Probability Distributions

5-3 Mean, Variance, and Expectation

5-4 The Binomial Distribution

5-5 Other Types of Distributions (Optional)

5-6 Summary

6 The Normal Distribution

6-1 Introduction

6-2 Properties of the Normal Distribution

6-3 The Standard Normal Distribution

6-4 Applications of the Normal Distribution

6-5 The Central Limit Theorem

6-6 The Normal Approximation to the Binomial Distribution

6-7 Summary

7 Confidence Intervals and Sample Size

7-1 Introduction

7-2 Confidence Intervals for the Mean (s Known or n³30)

7-3 Confidence Intervals for the Mean (s Unknown or n<30)

7-4 Confidence Intervals and Sample Size for Proportions

7-5 Confidence Intervals for Variances and Standard Deviations

7-6 Summary

8 Hypothesis Testing

8-1 Introduction

8-2 Steps in Hypothesis Testing - Traditional Method

8-3 z Test for a Mean

8-4 t Test for a Mean

8-5 z Test for a Proportion

8-6 chi^2 test for a Variance or Standard Deviation

8-7 Additional Topics Regarding Hypothesis Testing

8-8 Summary

9 Testing the Difference Between Two Means, Two Variances, and Two Proportions

9-1 Introduction

9-2 Testing the Difference Between Two Means: Large Samples

9-3 Testing the Difference Between Two Variances

9-4 Testing the Difference Between Two Means: Small Independent Samples

9-5 Testing the Difference Between Two Means: Small Dependent Samples

9-6 Testing the Difference Between Proportions

9-7 Summary

10 Correlation and Regression

10-1 Introduction

10-2 Scatter Plots

10-3 Correlation

10-4 Regression

10-5 Coefficient of Determination and Standard Error of the Estimate

10-6 Multiple Regression (Optional)

10-7 Summary

11 Other Chi-Square Tests

11-1 Introduction

11-2 Test for Goodness of Fit

11-3 Tests Using Contingency Tables

11-4 Summary

12 Analysis of Variance

12-1 Introduction

12-2 One-Way Analysis of Variance

12-3 The Scheffé Test and the Tukey Test

12-4 Two-Way Analysis of Variance

12-5 Summary

13 Nonparametric Statistics

13-1 Introduction

13-2 Advantages and Disadvantages of Nonparametric Methods

13-3 The Sign Test

13-4 The Wilcoxon Rank Sum Test

13-5 The Wilcoxon Signed-Rank Test

13-6 The Kruskal-Wallis Test

13-7 The Spearman Rank Correlation Coefficient and the Runs Test

18-8 Summary

14 Sampling and Simulation

14-1 Introduction

14-2 Common Sampling Techniques

14-3 Surveys and Questionnaire Design

14-4 Simulation Techniques

14-5 The Monte Carlo Method

14-6 Summary

Appendix A: Algebra Review

Appendix B-1: Writing the Research Report

Appendix B-2: Bayes's Theorem

Appendix B-3: Alternate Method for the Standard Normal Distribution

Appendix C: Tables

Appendix D: Data Bank

Appendix E: Glossary

Appendix F: Bibliography

Appendix G: Photo Credits

Appendix H: Selected Answers

Su questa edizione

• Editore: McGraw-Hill Education
• Data di pubblicazione: 2005
• ISBN 10: 0073215872
• ISBN 13: 9780073215877
• Rilegatura: Copertina rigida
• Numero edizione: 5
• Numero di pagine: 848