Just the essential concepts you need to get ahead in statistics
This practical guide sticks to the point with discrete explanations of essential concepts taught in a typical first semester statistics course. From graphs and confidence intervals to regression and hypothesis testing, the nitty-gritty information presented here is perfect to use in studying for exams, doing homework, or as a quick reference.
Chart your statistics course - get a handle on charts, graphs, and descriptive stats from standard deviations to correlations
Know your distributions - understand the probabilities for the normal, binomial, and t
Do the analysis - handle hypothesis tests, confidence intervals, regression, and two-way tables with ease
Take it to the limit - get the lowdown on sampling distributions and the Central Limit Theorem
Roll up your sleeves - discover the many experiments, surveys, and tests you'll encounter in statistics
Open the book and find:
Descriptive stats, charts, and graphs
Binomial, normal, and t-distributions
The Central Limit Theorem
Correlation and regression
Hypothesis tests and confidence intervals
Probabilities for two-way tables
Checklists for evaluating surveys and experiments
Ten common statistical mistakes
Learn to:
Exactly what you need to know about statistical ideas and techniques
The "must-know" formulas and calculations
Core topics in quick, focused lessons
