Publisher's Synopsis
Essential quick reference guide for one of the most challenging courses in the behavioral sciences. With memorization of statistical concepts and equations in a non-mathematics centered major, this reference to the need-to-know of the course will be a life saver. Authored in its concise style and format this 6 page, colorfully organized, durably laminated tool provides the answers you need at your fingertips. Organized and authored by Deborah J. Rumsey, PhD, accomplished author, Statistics Education Specialist, Faculty Member, and Fellow of the American Statistical Association. Quality and care of authorship, editing, and design makes this an incredible value for the study support and grade boosting power it holds.
6 page laminated guide includes:
- Important Terms
- Graphs for Single Variable
- Pie Chart
- Bar Graph
- Histogram
- Stem-and-Leaf Plot
- Boxplot
- Data Tables
- Descriptive Statistics for Single Variable
- Measures of Center
- Quartiles & Percentiles
- Five-Number Summary
- Measures of Variation
- Correlation & Regression
- Correlation
- Simple Linear Regression
- Simple Linear Regression Analysis
- Interpretation & Prediction
- Measuring How Well the Regression Line Fits
- Probability
- Random Variables
- Probability Distribution
- Normal Distribution
- 68-95-99.7 Rule
- Standard Normal (Z) Distribution
- The t Distribution
- Binomial Distribution
- Normal Approximation to the Binomial
- Sampling Distribution of p(hat)
- (1 - α)% Confidence Intervals
- For One Population Mean μX
- For One Population Proportion p
- For the Difference in Two Population Means μX-μY
- For the Difference in Two Population Proportions p1-p2
- α-Level Hypothesis Tests
- For One Population Mean μx
- For One Population Proportion p
- For the Difference of Two Population Means μX - μY with Independent Samples
- Hypothesis Test for the Mean of the Paired Differences μd (Paired Data, Dependent)
- For the Difference in Two Proportions, Independent Samples
- Analysis of Variance (ANOVA)
- The F Distribution
- The F Table
- ANOVA Table
- Multiple Comparisons
- Two-Way ANOVA
