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View Resource Analysis Lab

Some basic statistical analysis tools that allow the user to input their own data or use the pre-existing data and perform the desired test (e.g ANOVA, Descriptive, t-test, chi-square, correlation and regression).

http://onlinestatbook.com/stat_analysis/index.html
View Resource ANALYSIS OF COVARIANCE (one-way)

These pages will perform an analysis of covariance for k independent samples, where the individual samples, A, B, etc., represent k quantitative or categorical levels of the independent variable; DV = the dependent variable of interest; and CV = the concomitant variable whose effects one wishes to bring under statistical control. The pages in this first batch require the direct entry of data,...

http://faculty.vassar.edu/lowry/vsancova.html
View Resource ANALYSIS OF COVARIANCE (two-way)

These pages will perform a factorial analysis of covariance for RxC independent samples, cross-tabulated according to two independent variables, A and B, where A is the row variable and B the column variable; DV = the dependent variable of interest; and CV = the concomitant variable whose effects one wishes to bring under statistical control. As the pages open, you will be prompted to enter the...

http://faculty.vassar.edu/lowry/vsancova.html
View Resource Backward Probability Template

Given the population incidence of a certain disease, and the conditional probabilities of positive and negative test results, what are the probabilities for a particular test result of a true positive, true negative, false positive, and false negative? Adaptable to other kinds of conditional situations. Although this page is adaptable to a variety of backward probability situations, its exemplary...

http://faculty.vassar.edu/lowry/pback.html
View Resource Bacteria Allocation

This applet uses the Monte Carlo technique to simulate a count of bacteria that are present as a result of a certain sampling process. This simulation could be modified to perform other experiments.

http://mathdemos.gcsu.edu/mathdemos/MCBact/MCBact.html
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