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TOC
Current
Table of Contents
About the Author
Dedication
Acknowledgments
Preface
Part 1
Descriptive Statistics
1
Introduction to the Study of Statistics
1.1
Getting the Most from the Book
1.2
Overview of Topics
1.3
Descriptive Statistics
2
Variables and Their Distributions
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2.1
Variables and Their Characteristics
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2.2
Summary Statistics
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2.3
Presenting Distributions in Tables and Graphs
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2.4
A Final Comment on Conventions for Graphing
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2.5
Summary
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2.6
End-of-Chapter Exercises
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3
Measures of Properties of Distributions
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3.1
Differences between Distributions
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3.2
Measures of Central Tendency
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3.3
Measures of Dispersion
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3.4
Measures of Shape
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3.5
Effects of Variable Transformations
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3.6
Summary
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3.7
End-of-Chapter Exercises
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Part 2
Foundations of Inferential Statistics: Analyzing Frequencies
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4
Introduction to Probability
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4.1
Sampling Observations from Populations
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4.2
Why Probability?
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4.3
Some Basic Concepts in Probability Theory
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4.4
The Multiplicative Law for Joint Events
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4.5
The Additive Law for Compound Events
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4.6
Some Integrative Problems
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4.7
Summary
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4.8
End-of-Chapter Exercises
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5
The Binomial Distribution
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5.1
Computing Probabilities of Outcomes in Binomial Experiments
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5.2
The Function Rule for the Binomial Distribution
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5.3
Tables of the Binomial Distribution
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5.4
Summary
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5.5
End-of-Chapter Exercises
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6
Introduction to Inferential Statistics Based on the Binomial Distribution
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6.1
Hypothesis Testing
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6.2
Some More Examples
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6.3
Power
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6.4
Factors Influencing Power
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6.5
Summary
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6.6
End-of-Chapter Exercises
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7
Using the Chi-Square Distribution to Analyze Frequencies
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7.1
The Chi-Square Distribution
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7.2
The Goodness of Fit Test
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7.3
The Test of Association
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7.4
The Concept of Degrees of Freedom
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7.5
An Integrative Example
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7.6
Summary
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7.7
End-of-Chapter Exercises
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Part 3
Analyzing Means
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8
The Normal Distribution: Theoretical Foundations
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8.1
The Normal Distribution
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8.2
The Normal Distribution as the Sampling Distribution of the Sample Mean
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8.3
Summary
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8.4
End-of-Chapter Exercises
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9
Inferential Procedures Based on the Normal Distribution
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9.1
Testing Hypotheses about Population Means
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9.2
Estimating the Size of an Effect with Cohen’s d
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9.3
Power
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9.4
Confidence Intervals
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9.5
Relationships among the Procedures
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9.6
Summary
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9.7
End-of-Chapter Exercises
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10
Student’s t for Inferences about a Single Mean
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10.1
The t Distribution as the Sampling Distribution of the t-Test Statistic
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10.2
Testing Hypotheses about a Single Mean
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10.3
Estimating Effect Size with Cohen’s d
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10.4
Confidence Interval Estimates of the Value of a Population Mean
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10.5
Summary
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10.6
End-of-Chapter Exercises
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11
Student’s t for Inferences about the Difference between Two Means
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11.1
Alternative Ways to Design Two-Sample Studies
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11.2
Matched Samples Design
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11.3
Independent Samples Design
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11.4
Matched or Independent Samples?
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11.5
A Guide to Selecting among Procedures for Analyzing Means
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11.6
Summary
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11.7
End-of-Chapter Exercises
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Part 4
Analyzing Variance
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12
One-Factor Analysis of Variance
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12.1
Analyzing Variances to Answer Questions about Means
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12.2
The F Distribution
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12.3
The Analysis of Variance
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12.4
The Magnitude of the Effect
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12.5
Multiple Comparisons
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12.6
Summary
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12.7
End-of-Chapter Exercises
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13
Two-Factor Analysis of Variance
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13.1
Why Two Factors?
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13.2
The Analysis of Variance
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13.3
Understanding the Results
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13.4
Effect Size
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13.5
Multiple Comparisons
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13.6
Summary
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13.7
End-of-Chapter Exercises
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Part 5
Bivariate Statistics: Analyzing Relations between Variables
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14
Describing Bivariate Distributions
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14.1
Graphing Bivariate Distributions: Scatterplots
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14.2
Describing Linear Trends
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14.3
Measuring the Fit of the Regression Line
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14.4
Some Useful Connections among Correlation and Regression Statistics
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14.5
Summary
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14.6
End-of-Chapter Exercises
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15
Inferences about Correlation and Regression
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15.1
What Questions Might We Ask?
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15.2
Inferences about the Correlation between Two Variables in a Population
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15.3
Inferences about the Slope of the Population Regression Line, βy.x
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15.4
Interpreting Results
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15.5
Summary
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15.6
End-of-Chapter Exercises
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A
An Introduction to SPSS
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A.1
SPSS Overview
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A.2
Datasets
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B
The Research Study
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B.1
Asking Questions
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B.2
Who (or What) to Study?
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B.3
Designing a Study
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B.4
Analyzing the Results
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B.5
Summary
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B.6
End-of-Chapter Exercises
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C
Integration and Application: Descriptive Statistics
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C.1
When and Why Do We Use Descriptive Statistics?
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C.2
Student Performances in a Statistics Course
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C.3
Summary
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C.4
Integration and Application: Analyzing Means
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D
Integration and Application: Analyzing Means
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D.1
Identifying What to Do When
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D.2
Teaching Fourth Graders How to Design Simple Experiments
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D.3
Analyses
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D.4
Summary and Conclusions
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D.5
End-of-Chapter Exercises
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E
Integration and Application: Analyzing Variance
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E.1
Teaching Fourth Graders How to Design Simple Experiments, Again
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E.2
Analyses
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E.3
Summary and Conclusions
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E.4
End-of-Chapter Exercises
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F
Integration and Application: Analyzing Relations between Variables
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F.1
Student Performances in a Statistics Course
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F.2
Plan for Analyses
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F.3
Results
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F.4
Summary
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F.5
End-of-Chapter Exercises
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