What is included with this book?
Statistics, Data, and Statistical Thinking | |
The Science of Statistics | |
Types of Statistical Applications | |
Fundamental Elements of Statistics | |
Types of Data | |
Collecting Data | |
The Role of Statistics in Critical Thinking | |
Methods for Describing Sets of Data | |
Describing Qualitative Data | |
Graphical Methods for Describing Quantitative Data | |
Summation Notation | |
Numerical Measures of Central Tendency | |
Numerical Measures of Variability | |
Interpreting the Standard Deviation | |
Numerical Measures of Relative Standing | |
Methods for Detecting Outliers (Optional) | |
Graphing Bivariate Relationships (Optional) | |
Distorting the Truth with Descriptive Techniques | |
Probability | |
Events, Sample Spaces, and Probability | |
Unions and Intersections | |
Complementary Events | |
The Additive Rule and Mutually Exclusive Events | |
Conditional Probability | |
The Multiplicative Rule and Independent Events | |
Random Sampling | |
Some Counting Rules (Optional) | |
Discrete Random Variables | |
Two Types of Random Variables | |
Probability Distributions for Discrete Random Variables | |
Expected Values of Discrete Random Variables | |
The Binomial Random Variable | |
The Poisson Random Variable (Optional) | |
The Hypergeometric Random Variable (Optional) | |
Continuous Random Variables | |
Continuous Probability Distributions | |
The Uniform Distribution | |
The Normal Distribution | |
Descriptive Methods for Assessing Normality | |
Approximating a Binomial Distribution with a Normal Distribution (Optional) | |
The Exponential Distribution (Optional) | |
Sampling Distributions | |
What Is a Sampling Distribution? Properties of Sampling Distributions | |
Unbiasedness and Minimum Variance (Optional) | |
The Central Limit Theorem | |
Inferences Based on a Single Sample: Estimation with Confidence Intervals | |
Large-Sample Confidence Interval for a Population Mean | |
Small-Sample Confidence Interval for a Population Mean | |
Large-Sample Confidence Interval for a Population Proportion | |
Determining the Sample Size | |
Inferences Based on a Single Sample: Tests of Hypotheses | |
The Elements of a Test of Hypothesis | |
Large-Sample Test of Hypothesis about a Population Mean | |
Observed Significance Levels: p-Values | |
Small-Sample Test of Hypothesis about a Population Mean | |
Large-Sample Test of Hypothesis about a Population Proportion | |
Calculating Type II Error Probabilities: More about hellip;b (Optional) | |
Test of Hypothesis about a Population Proportion | |
Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses | |
Comparing Two Population Means: Independent Sampling | |
Comparing Two Population Means: Paired Difference Experiments | |
Comparing Two Population Proportions: Independent Sampling | |
Determining the Sample Size | |
Comparing Two Population Variances: Independent Sampling (Optional) | |
Analysis of Variance: Comparing More Than Two Means | |
Elements of a Designed Experiment | |
The Completely Randomized Design | |
Multiple Comparisons of Means | |
The Randomized Block Design | |
Factorial Experiments | |
Simple Linear Regression | |
Probabalistic Models | |
Fitting the Model: The Least Squares Approach | |
Model Assumptions | |
An Estimator of hellip;s2 | |
Assessing the Utility of the Model: Making Inferences about the Slope hellip;b1 | |
The Coefficient of Correlation | |
The Coefficient of Determination | |
Using the Model for Estimation and Prediction | |
A Complete Example | |
Multiple Regression and Model Building | |
Multiple Regression Models | |
The First-Order Model: Estimating and Interpreting the hellip;b Parameters | |
Model Assumptions | |
Inferences About the Individual hellip;b Parameters | |
Checking the Overall Utility of a Model | |
Using the Model for Estimation and Prediction | |
Model Building: Interaction Models | |
Model Building: Quadratic and Other Higher-Order Models | |
Model Building: Qualitative (Dummy) Variable Models | |
Model Building: Models with Both Quantitative and Qualitative Variables | |
Model Building: Comparing Nested Models | |
Model Building: Stepwise Regression | |
Residual Analysis: Checking the Regression Assumptions | |
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation | |
Categorical Data Analysis | |
Categorical Data and the Multinomial Distribution | |
Testing Categorical Probabilities: One-Way Table | |
Testing Categorical Probabilities: Two-Way (Contingency) Table | |
A Word of Caution about Chi-Square Tests | |
Nonparametric Statistics | |
Introduction: Distribution-Free Tests | |
Single Population Inferences: The Sign Test | |
Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples | |
Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment | |
The Kruskal-Wallis H-Test for a Completely Randomized Design | |
The Friedman F r -Test for a Randomized Block Design | |
Spearman''s Rank Correlation Coefficient | |
Tables Random Numbers | |
Binomial Probabilities | |
Poisson Probabilities | |
Normal Curve Areas | |
Exponentials | |
Critical Values of t | |
Critical Values of hellip;c2 | |
Percentage Points of the F Distribution, hellip;a= .10 | |
Percentage Points of the F Distribution, hellip;a=.05 | |
Percentage Points of the F Distribution, hellip;a=.025 | |
Percentage Points of the F Distribution, hellip;a=.01 | |
Critical Values of T L and T U for the Wilcoxon Rank Sum Test: Independent Samples | |
Critical Values of T O in the Wilcoxon Paired Difference Signed Rank Test | |
Critical Values of Spearman''s Rank Correlation Coefficient | |
Data Sets | |
Coronary Artery Patients'' Blood Loss Data | |
Car & Driver Data | |
Starting Salaries of USF Graduates | |
Sealed Milk Bids Data | |
Federal Trade Commission Rankings of Domestic Cigarette Brands | |
Calculation Formulas for Analysis of Variance | |
Short Answers to Selected Odd-Numbered Exercises | |
Index | |
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