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(3 classifications) (32 resources)

Statistical Inference and Techniques -- Estimation Principles

Statistical Topic Classifications
Assumptions (3)
Interpretation of Confidence Levels (26)
Sample Size Determination (4)

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...
View Resource **Confidence Interval Tutorial

This tutorial introduces students to the basics of confidence intervals in a Q & A format with options for entering answers to questions and having those answers checked.
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...
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.
View Resource Cartoon: Entering Chicago

A cartoon to teach the idea that sampling variability depends on the size of the sample, and not on the size of the population (as long as the sample is a small part of the population). Cartoon drawn by British cartoonist John Landers based on an idea from Dennis Pearl. Free to use in the classroom and for course websites.
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