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View Resource **Scatterplot & Correlation

This collection of applets allows users to visualize correlation and through scatterplots. Users can choose applets that allow them to see leverage points, regression lines, and residuals, to manipulate correlation and sample size, or to create their own scatterplots.

http://noppa5.pc.helsinki.fi/koe/flash/oldflash.html
View Resource **Simulating Binomial Distribution Applet

This applet simulates drawing samples from a binomial distribution. Users set the population proportion of success (pi), sample size (n), and number of samples. By clicking "Draw Samples," the applet will draw a sample and display the corresponding sample histogram. Each new sample drawn is added to the previous ones unless the user clicks "Reset" between samples. Users can choose to display the...

http://www.rossmanchance.com/applets/BinomDist/BinomDist.htm...
View Resource **Simulating Confidence Intervals

This applet generates confidence intervals for means or proportions. The options for confidence intervals for means include "z with sigma," "z with s," or "t." The options for confidence intervals for proportions are "Wald," "Adjusted Wald," or "Score." Users set the population parameters, sample size, number of intervals, and confidence level. Click "Sample," and the applet will graph the...

http://www.rossmanchance.com/applets/Confsim/Confsim.html
View Resource **Statistical Applets: P-Value of a Test of Significance

This applet is designed to help students visualize p-value by allowing them to set null and alternate hypotheses, population parameters, and sample statistics. It accompanies "Practice of Business Statistics," but can be used without this text.

http://bcs.whfreeman.com/pbs/cat_050/pbs/pvalue_pbs.html
View Resource **Statistics Online Computational Resource (SOCR) Modeler

The SOCR Modeler allows the user to compare data with typical statistical models such as the beta distribution, exponential, gamma, Poisson, etc. The user can adjust the bin ranges for the data comparison.

http://socr.stat.ucla.edu/htmls/SOCR_Modeler.html
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