The Applied Statistics Desktop Reference provides a review of hypothesis testing and the interpretation of output generated by statistical software. Applied Statistics will be most 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. It is not intended to serve as a stand-alone statistical text.
The approach of the text is to connect classically taught statistics with statistical software output. Applied Statistics presents commonly used hypothesis tests and formulas, provides an example of how to do the calculations, and relates the hypothesis testing to output generated by statistical software.
For many, the most valuable portions of the text will be the Glossary with over 200 definitions and the annotated presentation of output from statistical software. Applied Statistics covers the following statistical methods:
Basic Research Terminology and Method
Data File Design
Rates, Ratios, Proportions
Univariate and Bivariate Statistics for Percents and Means
Standardized (Z) Scores
Confidence Intervals for Proportions and Means
Z-Tests of Proportions and T-Tests of Mean
Chi-Square and Measures of Association
Pearson Correlation (scattergram and matrix interpretation)
Simple and Multiple OLS Regression
Logistic Regression (interpretation only)