# Loose Leaf Elementary Statistics, A Brief Version Student / Edition 5

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### Overview

Elementary Statistics: A Brief Version, is a shorter version of the popular text Elementary Statistics: A Step by Step Approach. This softcover edition includes all the features of the longer book, but it is designed for a course in which the time available limits the number of topics covered. It 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 edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.

### Product Details

• ISBN-13: 9780077450830
• Publisher: McGraw-Hill Higher Education
• Publication date: 6/4/2010
• Edition number: 5
• Product dimensions: 8.30 (w) x 10.50 (h) x 0.90 (d)

### Meet the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

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

2.4 Paired Data and Scatter Plots

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 Sample Spaces and Probability

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

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 and Sample Size

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 Chi-Square Test for a Variance or Standard Deviation

8.6 Confidence Intervals and Hypothesis Testing

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

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 Proportions

9.5 Testing the Difference Between Two Variances

10: Correlation and Regression

10.1 Correlation

10.2 Regression

10.3 Coefficient of Determination and Standard Error of the Estimate

11: Chi-Square and Analysis of Variance (ANOVA)

11.1 Test for Goodness of Fit

11.2 Tests Using Contingency Tables

11.3 Analysis of Variance (ANOVA)

Appendix A: Algebra Review

Appendix B-1: Writing the Research Report

Appendix B-2: Alternate Approach to the Standard

Normal Distribution

Appendix C: Tables

Appendix D: Data Bank

Appendix E: Glossary

Appendix F: Bibliography

Appendix G: Photo Credits

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