Elementary Statistics: A Step By Step Approach 10th Edition by Allan G. Bluman, ISBN-13: 978-1259755330

Elementary Statistics: A Step By Step Approach 10th Edition by Allan G. Bluman, ISBN-13: 978-1259755330

[PDF eBook eTextbook]

• Publisher: ‎ McGraw Hill; 10th edition (February 1, 2017)
• Language: ‎ English
• 880 pages
• ISBN-10: ‎ 1259755339
• ISBN-13: ‎ 978-1259755330

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 places more emphasis on conceptual understanding and understanding results.

This text is aimed at students who do not have a mathematical background. It therefore uses a non-theoretical approach, and concepts are explained intuitively, without the use of formal proofs; they are instead supported by example.

Table of Contents:

1 The Nature of Probability and Statistics

1.1 Descriptive and Inferential Statistics

1.2 Variables and Types of Data

1.3 Data Collection and Sampling Techniques

1.4 Observational and Experimental Studies

1.5 Uses and Misuses of Statistics

1.6 Computers and Calculators

2 Frequency Distributions and Graphs

2.1 Organizing Data

2.2 Histograms, Frequency Polygons,and Ogives

2.3 Other Types of Graphs

3 Data Description

3.1 Measures of Central Tendency

3.2 Measures of Variation

3.3 Measures of Position

3.4 Exploratory Data Analysis

4 Probability and Counting Rules

4.1 Exploratory Data Analysis

4.2 The Addition Rules for Probability

4.3 The Multiplication Rules and Conditional Probability

4.4 Counting Rules

4.5 Probability and Counting Rules

5 Discrete Probability Distributions

5.1 Probability Distributions

5.2 Mean, Variance, Standard Deviation,and Expectation

5.3 The Binomial Distribution

5.4 Other Types of Distributions (Optional)

6 The Normal Distribution

6.1 Normal Distributions

6.2 Applications of the Normal Distribution

6.3 The Central Limit Theorem

6.4 The Normal Approximation to the Binomial Distribution

7 Confidence Intervals and Sample Size

7.1 Confidence Intervals for the Mean When σ Is Known

7.2 Confidence Intervals for the Mean When σ Is Unknown

7.3 Confidence Intervals and Sample Size for Proportions

7.4 Confidence Intervals for Variances and Standard Deviations

8 Hypothesis Testing

8.1 Steps in Hypothesis Testing—Traditional Method

8.2 z Test for a Mean

8.3 t Test for a Mean

8.4 z Test for a Proportion

8.5 χ2 Test for a Variance or Standard Deviation

8.6 Additional Topics Regarding Hypothesis Testing

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

9.1 Testing the Difference Between Two Means: Using the z Test

9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test

9.3 Testing the Difference Between Two Means: Dependent Samples

9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances

10 Correlation and Regression

10.1 Scatter Plots and Correlation

10.2 Regression

10.3 Coefficient of Determination and Standard Error of the Estimate

10.4 Multiple Regression (Optional)

11 Other Chi-Square Tests

11.1 Test for Goodness of Fit

11.2 Tests Using Contingency Tables

12 Analysis of Variance

12.1 One-Way Analysis of Variance

12.2 The Scheffe Test and the Tukey Test

12.3 Two-Way Analysis of Variance

13 Nonparametric Statistics

13.1 Advantages and Disadvantages of Nonparametric Methods

13.2 The Sign Test

13.3 The Wilcoxon Rank Sum Test

13.4 The Wilcoxon Signed-Rank Test

13.5 The Kruskal-Wallis Test

13.6 The Spearman Rank Correlation Coefficient and the Runs Test

14 Sampling and Simulation

14.1 Common Sampling Techniques

14.2 Surveys and Questionnaire Design

14.3 Simulation Techniques and the Monte Carlo Method

Appendices Appendix A: Tables

Appendix B: Data Bank

Appendix C: Glossary

Appendix D: Photos Credits

Appendix E: Selected Answers

Additional Topics Onlne Algebra Review

Writing the Research Report

Bayes’ Theorem

Alternate Approach to the Standard Normal Distribution

Bibliography

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 ©2012) and Elementary Statistics: A Brief Version (Fifth Edition ©2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ©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.

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