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What is included with this book?
Preface | |
Supplements List | |
Data Sources | |
Introduction | |
The Nature of Statistics | |
Statistics Basics | |
Simple Random Sampling | |
Other Sampling Designs* | |
Experimental Designs* | |
Descriptive Statistics | |
Organizing Data | |
Variables and Data | |
Grouping Data | |
Graphs and Charts | |
Distribution Shapes | |
Misleading Graphs | |
Descriptive Measures | |
Measures of Center | |
Measures of Variation | |
The Five-Number Summary | |
Boxplots | |
Descriptive Measures for Populations | |
Use of Samples | |
Probability, Random Variables, and Sampling Distributions | |
Probability Concepts | |
Probability Basics | |
Events | |
Some Rules of Probability | |
Contingency Tables | |
Joint and Marginal Probabilities* | |
Conditional Probability* | |
The Multiplication Rule | |
Independence* | |
Bayes's Rule* | |
Counting Rules* | |
Discrete Random Variables* | |
Discrete Random Variables and Probability Distributions* | |
The Mean and Standard Deviation of a Discrete Random Variable* | |
The Binomial Distribution* | |
The Poisson Distribution* | |
The Normal Distribution | |
Introducing Normally Distributed Variables | |
Areas Under the Standard Normal Curve | |
Working with Normally Distributed Variables | |
Assessing Normality | |
Normal Probability Plots | |
Normal Approximation to the Binomial Distribution* | |
The Sampling Distribution of the Sample Mean | |
Sampling Error the Need for Sampling Distributions | |
The Mean and Standard Deviation of the Sample Mean | |
The Sampling Distribution of the Sample Mean | |
Inferential Statistics | |
Confidence Intervals for One Population Mean | |
Estimating a Population Mean | |
Confidence Intervals for One Population Mean When ó is Known | |
Margin of Error | |
Confidence Intervals for One Population Mean When ó is Unknown | |
Hypothesis Tests for One Population Mean | |
The Nature of Hypothesis Testing | |
Terms, Errors, and Hypotheses | |
Hypothesis Tests for One Population Mean When ó is Known | |
Type II Error Probabilities Power* | |
P-Values | |
Hypothesis Tests for One Population Mean When ó is Unknown | |
The Wilcoxon Signed-Rank Test* | |
Which Procedure Should Be Used?* | |
Inferences for Two Population Means | |
The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples | |
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal | |
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal | |
The MannùWhitney Test* | |
Inferences for Two Population Means, Using Paired Samples | |
The Paired Wilcoxon Signed-Rank Test* | |
Which Procedure Should Be Used?* | |
Inferences for Population Standard Deviations* | |
Inferences for One Population Standard Deviation* | |
Inferences for Two Population Standard Deviations, Using Independent Samples* | |
Inferences for Population Proportions | |
Confidence Intervals for One Population Proportion | |
Hypothesis Tests for One Population Proportion | |
Inferences for Two Population Proportions | |
Chi-Square Procedures | |
The Chi-Square Distribution | |
Chi-Square Goodness-of-Fit Test | |
Contingency Tables | |
Association | |
Chi-Square Independence Test | |
Regression, Correlation, and ANOVA | |
Descriptive Methods in Regression and Correlation | |
Linear Equations With One Independent Variable | |
The Regression Equation | |
The Coefficient of Determination | |
Linear Correlation | |
Inferential Methods in Regression and Correlation | |
The Regression Model | |
Analysis of Residuals | |
Inferences for the Slope of the Population Regression Line | |
Estimation and Prediction | |
Inferences in Correlation | |
Testing for Normality* | |
Analysis of Variance (ANOVA) | |
The F-Distribution | |
One-Way ANOVA: The Logic | |
One-Way ANOVA: The Procedure | |
Multiple Comparisons* | |
The KruskalùWallis Test* | |
Multiple Regression and Model Building | |
Experimental Design and ANOVA (On The WeissStats CD-ROM) | |
Multiple Regression Analysis | |
The Multiple Linear Regression Model | |
Estimation of the Regression Parameters | |
Inferences Concerning the Utility of the Regression Model | |
Inferences Concerning the Utility of Particular Predictor Variables | |
Confidence Intervals for Mean Response Prediction Intervals for Response | |
Checking Model Assumptions and Residual Analysis | |
Model Building in Regression | |
Transformations to Remedy Model Violations | |
Polynomial Regression Model | |
Qualitative Predictor Variables | |
Multicollinearity | |
Model Selection: Stepwise Regression | |
Model Selection: All Subsets Regression | |
Pitfalls and Warnings | |
Design of Experiments and Analysis of Variance | |
Factorial Designs | |
Two-Way ANOVA: The Logic | |
Two-Way ANOVA: The Procedure | |
Two-Way ANOVA: Multiple Comparisons | |
Randomized Block Designs | |
Randomized Block ANOVA: The Logic | |
Randomized Block ANOVA: The Procedure | |
Randomized Block ANOVA: Multiple Comparisons | |
Friedman's Nonparametric Test for the Randomized Block Design* | |
Appendixes | |
Statistical Tables | |
Random numbers | |
Areas under the standard normal curve | |
Normal scores | |
Values of tá | |
Values of Wá | |
Values of Má | |
Values of ÷á2 | |
Values of Fá | |
Critical values for a correlation test for normality | |
Values of q0.01 | |
Values of q0.05 | |
Binomial probabilities | |
Answers to Selected Exercises | |
Index | |
Photo Credits | |
Indexes for Biographical Sketches | |
Case Studies | |
indicates an optional section | |
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