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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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  • Regression to the Mean

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

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  • JAVA Comparing distributions

    This simulation shows recorded response times on a simple motor task under two conditions. Various statistics and graphs used to compare the distributions are presented.

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  • Unequal n ANOVA and Types of Sums of Squares

    This simulation illustrates types of sums of squares in a 2 x 3 ANOVA.

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  • Robustness of t test and ANOVA

    This applet lets you explore the effect of violations of the assumptions of normality and homogeneity of variance on the type I error rate and power of t tests (and two-group analysis of variance).

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  • Incorporating Data Analysis Projects into Introductory Statistics

    This 21 page pdf file includes teaching tips for using projects when teaching statistics such as group formation and grading rubrics. This site provides sample projects on data and probability summaries, hypothesis testing and simple linear regression.

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  • Guide to SPSS 10.1 or 11.0 for Windows

    This introductory tutorial for SPSS 10.1 and 11.0 for Windows explains how to enter and summarize data and groups of data and to generate graphs.

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  • Data Collection: Data Cleaning Assignment

    This activity guides students through the process of checking the validity of data, performing summary analysis, constructing box plots, and determining whether significant differences exist. The data comes from a study of mineral levels in older adults and is available in Minitab, Excel, SAS, and text formats.

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  • Practical Analysis of Nutritional Data

    This online textbook provides information on the statistical analysis of nutritional data. Techniques covered include data cleaning, descriptive statistics, histograms, graphics, scatterplots, outlier identification, regression and correlation, confounding, and interactions. Each chapter includes exercises with real data and self-tests to be used with SPSS.

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  • JMP Tutorials

    This site has Youtube video tutorials and screen capture tutorials about how to make graphical displays and perform statistical tests using JMP.

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