Description:
This online resource is intended to help students understand concepts from probability and statistics and covers many topics from introductory to advanced. You can follow the progression of the text, or you can click on a topic on the left. Key words include: alpha reliability, analysis of covariance (ANCOVA), analysis of variance (ANOVA), Bayesian analysis, bias, binomial regression, Bonferroni adjustment, bootstrapping, Categorical modeling, central limit theorem; Chisquared test, clinical significance, cluster analysis, coefficient of variation, confidence intervals, contingency table, controlled trial, confounders, correlation, dimension reduction, discriminant function analysis, frequency, Normal, Poisson, probability Distributions, effect, error, factor analysis, goodness of fit, heteroscedasticity, hypothesis testing, independence, interactions, Kappa coefficient, Latin squares, least squares means, likert scales, linear regression, logistic regression, multivariate ANOVA (MANOVA), mixed modeling, multiple linear regression, nonparametric models, odds ratio, P values, path analysis, percentiles, polynomial regression, power, PRESS, probability, relative frequency; repeated measures; sample size, sampling, sensitivity; stepwise regression, structural equation modeling, T test, transformation, and validity. This is a large, and fairly comprehensive, collection of statistical concepts. 

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