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(12 classifications) (398 resources)

Statistical Inference and Techniques

Statistical Topic Classifications
Categorical Methods (172)
Design of Experiments (30)
Estimation Principles (183)
Linear Models (380)
Multivariate Techniques (22)
Nonlinear Models (13)
Nonparametric Techniques (56)
One Numerical Variable Methods (174)
Sampling Distributions (51)
Significance Testing Principles (290)
Statistical Quality Control (3)
Survival Analysis (35)

Resources
View Resource Additional SOCR Resources

This page provides links to distribution calculators, conceptual demonstration applets, statistical tables, online data analysis packages, function and image-processing tools, and other online computing resources. Key Words: Binomial; Normal; Exponential; Chi-Square; Geometric; Hypergeometric; Negative Binomial; Poisson; Student's T; F-Distribution; Wilcoxon Rank-Sum; Central Limit Theorem;...

http://www.socr.ucla.edu/Applets.dir/OnlineResources.html
View Resource Advanced Statistics - Biology 603 - Labs

This page lists the laboratories and java projects for a course in advanced statistics.

http://caspar.bgsu.edu/~courses/Stats/Labs_Stats.shtml
View Resource Advanced Statistics - Biology 603 - Lectures

This site provides links to lecture outlines for an upper-level statistics class. Topics include hypothesis testing, ANOVA and regression.

http://caspar.bgsu.edu/~courses/Stats/
View Resource Against All Odds

The Against All Odds video series provides an extensive introduction to statistics. It consists of 26 half hour video episodes that include lecturing on statistical topics, animations of statistical topics and video of real world examples. The series is available online or can be purchased on VHS video tape. The statistical material in the series was supervised by Dr. David Moore and...

http://www.learner.org/resources/series65.html
View Resource Against All Odds: 26. Small Sample Inference for One Mean

In this free online video, students discover an improved technique for statistical problems that involves a population mean: the t statistic for use when sigma is not known. Emphasis is on paired samples and the t confidence test and interval. The program covers the precautions associated with these robust t procedures, along with their distribution characteristics and broad applications."

http://www.learner.org/courses/againstallodds/unitpages/unit...
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