By: Seth Michelson and Timothy Schofield
172 pages, Figs, tabs
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.
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I don't know how you got a book printed 26 years ago in the conditions that I received it (like new) but you do it! ABSOLUTELY AWESOME!
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