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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

This site gives an explanation, a definition of, and an example using comparison of two means. Topics include confidence intervals and significance tests, z and t statistics, and pooled t procedures. Overall, this is a...
This lesson is based on several interesting problems. Each problem has a somewhat unexpected answer; in fact, many people have a hard time accepting experimental results for these problems, as the results may seem...
This site, presented by the Department of Statistics at Yale University, gives an explanation of, a definition for and an example of confidence intervals. It covers topics including inference about population mean and z...
Created by Gavin Gibson of Heriot Watt University, this file applies the Cramer-Rao inequality to a binomial random variable to prove that the usual estimator of p is a minimum variance unbiased estimator. This is a...
Created by Alan Heckert and James Filliben, this chapter of the National Institute of Standards and Technology (NIST) Engineering Statistics handbook describes exploratory data analysis. It contains an introduction, a...
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