Datasets

  • In this activity, students will perform a t-test to determine if there is a significant difference between the kicking distances of a football filled with helium and one filled with regular air. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will calculate the correlation between the ratio of doctors to people and the average lifespan for 40 countries. The dataset contains the name of the country, the number of citizens per doctor, and the average female lifespan (in years). Questions about the exercise and a link to Excel instructions are given. The data exist in Excel data format and text format.
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  • In this activity, students will perform a chi-squared test on the number of people with health insurance by age to determine whether there is a relationship between age and insurance coverage. Questions about the exercise and a link to the DIG Stats Online Chi-Squared Calculator are given. The data exist in Excel and text formats.
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  • In this activity, students will perform a one sample t-test to see if the pH level of rain collected by the EPA is less than the pH standard for acid rain (5.6). Questions about the exercise and links to a t-test applet and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will perform a two-way ANOVA on a dataset containing rainfall amounts for seeded and unseeded clouds in each of the 4 seasons. Questions about the exercise are given as well as a link to Excel instructions. The data exist in Excel and text formats.
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  • In this activity, students will calculate the correlation and generate a scatterplot of the number of passengers flying and the number of performed departures from 135 airports in the US. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • The applets in this section allow users to see how probabilities and quantiles are determined from a Normal distribution. For calculating probabilities, set the mean, variance, and limits; for calculating quantiles, set the mean, variance, and probability. Users can choose from three different probability expressions. Variance is restricted to numbers between 0.1 and 10, inclusive. To select between the different applets you can click on Statistical Theory, Normal Distribution and then the Main Page. At the bottom of this page you can make your applet selection. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/
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  • In this demonstration a scatterplot is displayed and you draw in a regression line by hand. You can then compare your line to the best least squares fit. You can also try to guess the value of Pearson's correlation coefficient.
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  • This applet shows how the correlation between two variables is affected by the range of the variable plotted on the X-axis.
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  • This applet demonstrates that even a "small" effect can be important under some circumstances. Applicants from two groups apply for a job. The user manipulates the mean and the cut-off score in order to see the effects the small changes has on the number of people hired in each group. The effects on the proportion of hired applicants from each group are displayed.(Requires a browser that supports Java).
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