United States
£ GBP
Accessible guide which includes operations instructions, for use even if you don't understand the principle, as well as listing all the frequently used statistical tests.
I: Introduction. II: Description. What is it. Why you care. When you can use it. When you can't. A: Populations, Distributions, & Samples. B: Measures of Central Tendency. C: Data Dispersion, Noise, and Error. E: Graphics. III: Inference. What is it. Why you care. When you can use it. When you can't. A: Comparing a mean to a known standard. B: Comparing a mean to an uncertain standard. C: Comparing Before and After Data. D: Comparing two means. E: Comparing three or more means. F: Proportions and the Chi-Square. G: Nonparametric Tests. IV: Estimation. A: Association & Correlation. B: Math Models & Linear Regression. C: Mathematical Models & Nonlinear Regression. V: Design of the Statistical Experiment. A: The Statistical Experiment. B: Design Elements. C: Statistical Power. D: Design Digest.
