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(3 classifications) (111 resources)

Statistical Inference and Techniques -- Estimation Principles

Statistical Topic Classifications
Assumptions (12)
Interpretation of Confidence Levels (69)
Sample Size Determination (15)

Resources
View Resource ** Confidence Interval for a Mean

This Java based applet gives students an opportunity to work through confidence interval problems for the mean. The material provides written word problems in which an individual must be able to correctly identify the given parts for a confidence interval calculation, and then be able to use this information to find the confidence interval. It gives step by step prompts to encourage students to...

http://www.ltcconline.net/greenl/java/Statistics/CIForAMean/...
View Resource **Maximum Likelihood

This material introduces the basic theory of maximum likelihood estimation by discussing the likelihood function, the log likelihood function, and maximizing these functions using calculus. Several exercises ask students to derive certain estimators, while others have students compare the behavior of those estimators with other possibilities through the use of various JAVA applets. The applets...

http://www.math.uah.edu/stat/point/Likelihood.xhtml
View Resource *Using an Applet to Demonstrate Sampling Distributions of Regression Coefficients

This visualization activity combines student data collection with the use of an applet to enhance the understanding of the distributions of slope and intercept in simple linear regression models. The applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and...

http://serc.carleton.edu/sp/cause/interactive/examples/17126...
View Resource ARTIST Journals and Writing Assessments

This section of ARTIST contains suggestions for implementing student journals, writing assignments, and minute papers in statistics classes. Links to general references for writing assessments are included.

http://app.gen.umn.edu/artist/journals.html
View Resource BGIM : Maximum Likelihood Estimation Primer

This set of pages is an introduction to Maximum Likelihood Estimation. It discusses the likelihood and log-likelihood functions and the process of optimizing.

http://statgen.iop.kcl.ac.uk/bgim/mle/sslike_1.html
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