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Goodness of Fit 10
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  • DIG Stats: Seed Harvester Ant Activity

    In this activity, students will calculate confidence intervals for the mean weight (in milligrams) of seed harvester ants for 4 size classes of the ants. Questions about the exercise and links to Excel and TI-83 instructions are given. This data exists in Excel, TI-83, and text formats.

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  • Instructor Reputation and Teacher Ratings

    This case study covers the concepts including: boxplots, stem and leaf displays, two-sample t tests, and analysis of variance. It also assesses the question, "Does an instructor's reputation affect ratings of the instructor's lecture?"

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  • Regression to the Mean

    This is a simulation illustrating the regression toward the mean phenomenon.

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  • Histograms, Bin Widths, and Cross Validation

    This applet demonstrates how a histogram is affected by bin width and starting point of first bin. It also illustrates cross-validation criterion for assessing histograms.

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  • Chi Square Test of Deviations from Expected Frequencies

    The applet allows users to sample from a normal distribution or from a uniform distribution. It shows the expected values and the observed values and computes the deviation. Then, a chi-square test shows if the deviations are significant for both the normal and uniform distributions.

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  • Video: 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."

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  • Relative Risks and Odd Ratios

    This site provides a PowerPoint presentation of a lesson and examples of relative risks and odds ratios.

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  • Engineering Statistics Handbook

    The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible.

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  • Kolmogorov-Smirnov Goodness-of-Fit Test (Engineering Statistics Handbook)

    This page, part of the NIST Engineering Statistics handbook, describes the Kolmogorov-Smirnov goodness of fit test. It contains a graph of the empirical distribution function with the cumulative distribution function, a definition of the test, the questions it answers, the assumptions that it makes, and links to other goodness of fits tests and a case study.

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  • Resampling methods: Concepts, Applications, and Justification

    This journal article is a summary of resampling methods such as the jackknife, bootstrap, and permutation tests. It summarizes the tests, describes various software to perform the tests, and has a list of references.

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