A handbook of introductory statistical methods

Definitions Sample Mean and Variance: Coefficient of Variation Sample and Population Relative Frequency Distributions Probability (Continuous Variates) Population Mean and Variance: Sample Estimates The Simple Linear Transformation of a Variate The Addition and Subtraction of Independent Variates The Distribution of the Sample Mean Statistical Models Normal (Gaussian) Distributions The Standard Normal (Gaussian) Reference Distribution T-Distributions Confidence Intervals for the Population Mean of a Normal Distribution and a General Formulation Chi-Squared (X2) Reference Distributions Confidence Intervals for the Population Variance of a Normal Distribution Hypothesis Testing (Significance Testing) Hypothesis Testing of the Mean of a Normal Distribution: The Two-Tailed T-Test Hypothesis Testing for the Variance of a Normal Distribution: The Two Tailed X2 Test Confidence Intervals and Hypothesis Tests Related Testing One-Sided Alternative Hypotheses Type I and Type II Errors and Power.