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Elementary Statistics: A Step By Step Approach with MathZone and Smart CD,9780073215877
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Elementary Statistics: A Step By Step Approach with MathZone and Smart CD

by
Edition:
5th
ISBN13:

9780073215877

ISBN10:
0073215872
Format:
Hardcover
Pub. Date:
3/17/2005
Publisher(s):
McGraw-Hill Science/Engineering/Math
List Price: $175.75

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This is the 5th edition with a publication date of 3/17/2005.
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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

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Summary

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.

Table of Contents

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 n30)

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 Scheff 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



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