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# Resource Library

#### Statistical Topic

Advanced Search | Displaying 1951 - 1960 of 2117
• ### The Binomial Distribution

This site gives an explanation of, an example of, and a definition for binomial distributions including counts, proportions, and normal approximation.
• ### Random variables

This site gives an explanation, a definition and an example of random variables including discrete and continuous. It also defines a density curve.
• ### Mean and Variance of Random Variables

This site gives an explanation, a definition and an example of mean and variance of random variables. Definitions and properties are also included.
• ### Conditional Probability

This site gives an explanation, a definition and an example of conditional probability. Topics include the probabilities of intersections of events and Bayes' formula.
• ### Probability Models

This site gives an explanation, a definition and an example of probability models. Topics include components of probability models and the basic rules of probability.
• ### Sampling in Statistical Inference

This site gives an explanation, a definition and an example of sampling in statistical inference. Topics include parameters, statistics, sampling distributions, bias, and variability.
• ### Experimental Design

This site gives an explanation, a definition of and an example using experimental design. Topics include experimentation, control, randomization, and replication.
• ### ANOVA for Regression

This site gives an explanation, a definition and an example of ANOVA for regression. Topics include analysis of variance calculations for simple and multiple regression, and F-statistics.
• ### Multiple Linear Regression

This site gives an explanation, a definition and an example of multiple linear regression. Topics include confidence intervals, tests of significance, and squared multiple correlation.
• ### Inference in Linear Regression

This site gives an explanation, a definition and an example of inference in linear regression. Topics include confidence intervals for intercept and slope, significance tests, mean response, and prediction intervals.