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(22 classifications) (96 resources)


Classifications (LC)
Addresses, essays, lectures (52)
Analysis of variance and covariance. Experimental design (94)
Analysis of variance and covariance. Experimental design (5)
Data processing (6)
Decision theory (14)
Elementary texts (9)
Estimation theory (11)
General works (1)
Graphic methods (38)
Handbooks, tables, formulas, etc. (21)
History (1)
Multivariate analysis (110)
Nonparametric methods (4)
Periodicals, societies, congresses, serial publications (5)
Ranking and selection (2)
Sampling distribution (52)
Sampling theory and methods (30)
Statistics as a profession. Vocational guidance (1)
Study and teaching. Research (448)
Testing of hypotheses (92)
Time series analysis (7)
Tolerance regions. Confidence intervals (47)

 

Resources

A strong grounding in probability and statistics can help with the interpretation of research studies in a variety of fields. Carnegie Mellon's Open Learning Initiative offers a free, online, four-unit course on...
This resource, created by author Will G. Hopkins, defines what a p-value is, why .05 is significant, and when to use it. It also covers related topics such as one-tailed/two-tailed tests and hypothesis testing. Overall,...
This page is a companion to the Exploring Patterns in Nature Curriculum Guides (see related pages) developed by the Center for Polymer Studies. It represents several basic Java Applets which illustrate basic concepts in...
Pseudo random number generators (PRNG) start with a seed value and will eventually repeat all the numbers they generate in exactly the same order. Putting in the same seed value will give precisely the same set of random...
Created by Kyle Siegrist of the University of Alabama-Huntsville, this is an online, interactive lesson on point estimation. The author provides examples, exercises, and applets about the topic. More specifically, they...
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