Introduction | |
Introduction to statistical methodology | |
Descriptive statistics and inferential statistics | |
The role of computers in statistics | |
Chapter summary | |
Sampling and Measurement | |
Variables and their measurement | |
Randomization | |
Sampling variability and potential bias | |
other probability sampling methods | |
Chapter summary | |
Descriptive statistics | |
Describing data with tables and graphs | |
Describing the center of the data | |
Describing variability of the data | |
Measure of position | |
Bivariate descriptive statistics | |
Sample statistics and population parameters | |
Chapter summary | |
Probability Distributions | |
Introduction to probability | |
Probablitity distributions for discrete and continuous variables | |
The normal probability distribution | |
Sampling distributions describe how statistics vary | |
Sampling distributions of sample means | |
Review: Probability, sample data, and sampling distributions | |
Chapter summary | |
Statistical inference: estimation | |
Point and interval estimation | |
Confidence interval for a proportion | |
Confidence interval for a mean | |
Choice of sample size | |
Confidence intervals for median and other parameters | |
Chapter summary | |
Statistical Inference: Significance Tests | |
Steps of a significance test | |
Significance test for a eman | |
Significance test for a proportion | |
Decisions and types of errors in tests | |
Limitations of significance tests | |
Calculating P (Type II error) | |
Small-sample test for a proportion: the binomial distribution | |
Chapter summary | |
Comparison of Two Groups | |
Preliminaries for comparing groups | |
Categorical data: comparing two proportions | |
Quantitative data: comparing two means | |
Comparing means with dependent samples | |
Other methods for comparing means | |
Other methods for comparing proportions | |
Nonparametric statistics for comparing groups | |
Chapter summary | |
Analyzing Association between Categorical Variables | |
Contingency Tables | |
Chi-squared test of independence | |
Residuals: Detecting the pattern of association | |
Measuring association in contingency tables | |
Association between ordinal variables | |
Inference for ordinal associations | |
Chapter summary | |
Linear Regression and Correlation | |
Linear relationships | |
Least squares prediction equation | |
The linear regression model | |
Measuring linear association - the correlation | |
Inference for the slope and correlation | |
Model assumptions and violations | |
Chapter summary | |
Introduction to multivariate Relationships | |
Association and causality | |
Controlling for other variables | |
Types of multivariate relationships | |
Inferenential issus in statistical control | |
Chapter summary | |
Multiple Regression and Correlation | |
Multiple regression model | |
Example with multiple regression computer output | |
Multiple correlation and R-squared | |
Inference for multiple regression and coefficients | |
Interaction between predictors in their effects | |
Comparing regression models | |
Partial correlation | |
Standardized regression coefficients | |
Chapter summary | |
Comparing groups: Analysis of Variance (ANOVA) methods | |
Comparing several means: One way analysis of variance | |
Multiple comparisons of means | |
Performing ANOVA by regression modeling | |
Two-way analysis | |
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