Applied Statistics

Applied Statistics presents commonly used hypothesis tests and formulas, provides calculation examples, and relates hypothesis testing to output generated by statistical software. Applied Statistics is useful for those who have completed a course in statistics and need a quick refresher or for students looking for a concise reference to support classroom instruction. Applied Statistics covers the following statistical methods: Basic Research Terminology and Methods, Data File Design, Rates, Ratios, Proportions, Univariate and Bivariate Statistics for Percents and Means, Standardized (Z) Scores, Weighted Means, Confidence Intervals for Proportions and Means, Z-Tests of Proportions and T-Tests of Means, Chi-Square and Measures of Association, One-Way ANOVA, Pearson Correlation (scattergram and matrix interpretation), Simple and Multiple OLS Regression, Logistic Regression (interpretation only).