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Preface | |
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Introduction | |
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What Do You Mean, "Statistics"? | |
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Clue to the future | |
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What's in It for Me? | |
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Some Terminology | |
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Problems and Answers | |
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Scales of Measurement | |
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Statistics and Experimental Design | |
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Experimental Design Variables | |
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Statistics and Philosophy | |
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Statistics: Then and Now | |
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Helpful Features of This Book | |
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Concluding Thoughts for This Introductory Chapter | |
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Additional Help for Chapter 1 | |
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Key Terms | |
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Transition passage to descriptive statistics | |
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Frequency Distributions and Graphs | |
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Simple Frequency Distributions | |
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Error detection | |
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Grouped Frequency Distributions | |
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Graphs of Frequency Distributions | |
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Describing Distributions | |
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The Line Graph | |
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More on Graphics | |
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A Moment to Reflect | |
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Additional Help for Chapter 2 | |
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Key Terms | |
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Central Tendency and Variability | |
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Measures of Central Tendency | |
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Finding Central Tendency of Simple Frequency Distributions | |
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Error detection | |
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Error detection | |
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When to Use the Mean, Median, and Mode | |
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Determining Skewness from the Mean and Median | |
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The Weighted Mean | |
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Variability | |
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The Range | |
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Interquartile Range | |
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The Standard Deviation | |
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The Standard Deviation as a Descriptive Index of Variabiiity | |
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Error detection | |
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Error detection | |
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Error detection | |
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S as an Estimate of [sigma] | |
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Error detection | |
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Clue to the future | |
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The Variance | |
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Clue to the future | |
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Estimating Answers | |
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Additional Help for Chapter 3 | |
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Key Terms | |
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Other Descriptive Statistics | |
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Using z Scores to Describe Individuals | |
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Clue to the future | |
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Boxplots | |
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Error detection | |
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Effect Size Index | |
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The Descriptive Statistics Report | |
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Additional Help for Chapter 4 | |
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Key Terms | |
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Transition passage to bivariate distributions | |
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Correlation and Regression | |
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Bivariate Distributions | |
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Positive Correlation | |
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Negative Correlation | |
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Zero Correlation | |
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Clue to the future | |
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The Correlation Coefficient | |
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Error detection | |
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Clue to the future | |
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Error detection | |
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Scatterplots | |
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Interpretations of r | |
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Uses of r | |
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Strong Relationships but Low Correlations | |
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Error detection | |
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Other Kinds of Correlation Coefficients | |
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Linear Regression | |
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Making Predictions from a Linear Equation | |
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The Regression Equation-A Line of Best Fit | |
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Error detection | |
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Additional Help for Chapter 5 | |
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Key Terms | |
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What Would You Recommend? Chapters 1-5 | |
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Transition passage to inferential statistics | |
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Theoretical Distributions Including the Normal Distribution | |
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Probability | |
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A Rectangular Distribution | |
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Clue to the future | |
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A Binomial Distribution | |
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Comparison of Theoretical and Empirical Distributions | |
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The Normal Distribution | |
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Error detection | |
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Clue to the future | |
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Comparison of Theoretical and Empirical Answers | |
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Other Theoretical Distributions | |
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Additional Help for Chapter 6 | |
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Key Terms | |
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Samples, Sampling Distributions, and Confidence Intervals | |
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Random Samples | |
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Biased Samples | |
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Research Samples | |
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Sampling Distributions | |
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Clue to the future | |
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The Sampling Distribution of the Mean | |
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Central Limit Theorem | |
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Constructing a Sampling Distribution When [sigma] Is Not Available | |
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The t Distribution | |
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Confidence Interval about a Sample Mean | |
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Clue to the future | |
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Error detection | |
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Categories of Inferential Statistics | |
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Additional Help for Chapter 7 | |
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Key Terms | |
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Transition passage to hypothesis testing | |
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Hypothesis Testing and Effect Size: One-Sample Designs | |
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The Logic of Null Hypothesis Statistical Testing (NHST) | |
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Clue to the future | |
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Using the t Distribution for Null Hypothesis Statistical Testing | |
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A Problem and the Accepted Solution | |
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The One-Sample t Test | |
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An Analysis of Possible Mistakes | |
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The Meaning of p in p < .05 | |
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One-Tailed and Two-Tailed Tests | |
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Effect Size Index | |
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Other Sampling Distributions | |
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Using the t Distribution to Test the Significance of a Correlation Coefficient | |
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Clue to the future | |
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Why .05? | |
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Additional Help for Chapter 8 | |
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Key Terms | |
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Hypothesis Testing, Effect Size, and Confidence Intervals: Two-Sample Designs | |
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A Short Lesson on How to Design an Experiment | |
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NHST: The Two-Sample Example | |
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Degrees of Freedom | |
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Paired-Samples Designs and Independent-Samples Designs | |
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Clue to the future | |
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The t Test for Independent-Samples Designs | |
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Clue to the future | |
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The t Test for Paired-Samples Designs | |
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Error detection | |
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Significant Results and Important Results | |
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Effect Size Index | |
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Establishing a Confidence Interval about a Mean Difference | |
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Error detection | |
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Reaching Correct Conclusions | |
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Statistical Power | |
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Additional Help for Chapter 9 | |
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Key Terms | |
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What Would You Recommend? Chapters 6-9 | |
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Transition passage to more complex designs | |
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Analysis of Variance: One-Way Classification | |
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Rationale of ANOVA | |
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More New Terms | |
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Clue to the future | |
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Sums of Squares | |
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Error detection | |
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Mean Squares and Degrees of Freedom | |
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Error detection | |
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Calculation and Interpretation of F Values Using the F Distribution | |
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Schedules of Reinforcement-A Lesson in Persistence | |
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Comparisons among Means | |
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Assumptions of the Analysis of Variance | |
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Effect Size Index | |
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Additional Help for Chapter 10 | |
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Key Terms | |
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Analysis of Variance: One-Factor Repeated Measures | |
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A Data Set | |
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One-Factor Repeated-Measures ANOVA: The Rationale | |
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An Example Problem | |
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Tukey HSD Tests | |
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Type I and Type II Errors | |
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Some Behind-the-Scenes Information about Repeated-Measures ANOVA | |
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Additional Help for Chapter 11 | |
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Key Terms | |
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Analysis of Variance: Factorial Design | |
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Factorial Design | |
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Main Effects and Interaction | |
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Clue to the future | |
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A Simple Example of a Factorial Design | |
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Error detection | |
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Error detection | |
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Error detection | |
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Analysis of a 2 X 3 Design | |
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Comparing Levels within a Factor-Tukey HSD Tests | |
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Effect Size Indexes for Factorial ANOVA | |
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Restrictions and Limitations | |
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Additional Help for Chapter 12 | |
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Key Terms | |
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Transition passage to nonparametric statistics | |
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CHI Square Tests | |
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Error detection | |
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The Chi Square Distribution and the Chi Square Test | |
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Chi Square as a Test of Independence | |
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Error detection | |
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Shortcut for Any 2 X 2 Table | |
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Effect Size Index for 2 X 2 Chi Square Data | |
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Chi Square as a Test for Goodness of Fit | |
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Chi Square with More Than One Degree of Freedom | |
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Small Expected Frequencies | |
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When You May Use Chi Square | |
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Error detection | |
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Additional Help for Chapter 13 | |
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Key Terms | |
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More Nonparametric Tests | |
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The Rationale of Nonparametric Tests | |
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Comparison of Nonparametric to Parametric Tests | |
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Clue to the future | |
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The Mann-Whitney U Test | |
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Error detection | |
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Error detection | |
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Error detection | |
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The Wilcoxon Matched-Pairs Signed-Ranks T Test | |
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The Wilcoxon-Wilcox Multiple-Comparisons Test | |
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Correlation of Ranked Data | |
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Error detection | |
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My Final Word | |
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Additional Help for Chapter 14 | |
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Key Terms | |
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What Would You Recommend? Chapters 10-14 | |
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Choosing Tests and Writing Interpretations | |
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A Review | |
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Future Steps | |
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Choosing Tests and Writing Interpretations | |
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Additional Help for Chapter 15 | |
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Key Terms | |
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Appendixes | |
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Arithmetic and Algebra Review | |
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Grouped Frequency Distributions and Central Tendency | |
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Tables | |
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Glossary of Words | |
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Glossary of Symbols | |
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Glossary of Formulas | |
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Answers to Problems | |
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References | |
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Index | |