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View Resource Sampling Distribution Simulation

This applet, created by Ivo Dinov of the University of California, Berkeley, demonstrates the Central Limit Theorem. First, select a distribution (normal, uniform, skewed, custom) and add or delete data points by clicking on the graph. Then, sample from the parent population and the distribution of the sample mean is shown. Users can also choose to see the distribution of the median, standard...

View Resource Additional SOCR Resources

This page, created by Ino Dinov of the University of California, Berkeley, provides links to distribution calculators, conceptual demonstration applets, statistical tables, online data analysis packages, function and image-processing tools, and other online computing resources. This is a great collection of statistics tools and resources.

View Resource Choosing the Right Test

This page, created by Ivo Dinov of the University of California, Berkeley, helps readers know which statistical tests are appropriate for the different types of data. Two charts display the information. A discussion of study design and sample size, as well as exercise questions with solutions are also provided. This is a great reference tool for anyone interested in different statistical tests...

View Resource Confidence Intervals

This applet, created by Ivo Dinov of the University of California at Berkeley, introduces the concept of confidence intervals. Select an alpha level, sample size, and the number of experiments, and click "Play." For each sample, the applet will show the data points as blue dots and the confidence interval as a red, vertical line. The true population mean is shown as a horizontal purple line,...

View Resource Normal Approximation to Poisson Distribution

This applet, created by Ivo Dinov of the University of California, Los Angeles, demonstrates the normal approximation to the Poisson distribution. Users can set the rate, lambda, and the number of trials, n, and observe how the shape of the distribution changes. The Poisson distribution is shown in blue, and the Normal distribution is shown in red.

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