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Searched for: Statistical Topic is Statistical Inference and Techniques -- Significance Testing Principles -- Power
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View Resource Power for a One-Sample Z-Test Applet

This exercise illustrates the relationship between statistical power (the probability of rejecting a false null hypothesis) and four features of the test situation: the size of the difference between the actual mean and the hypothesized mean; variability of scores within groups; sample size; and alpha error. A dynamic applet allows the user to manipulate a factor and immediately see the effect on...
View Resource Power of a Hypothesis Test

This applet performs a hypothesis test for the mean of a single normal population, variance known. Users set the hypothesized mean, true mean, variance, and appropriate alternative hypothesis. The applet plots a representative distribution under the given values with power shaded in blue and significance level shaded in red. An article and an alternative source for this applet can be found at ...
View Resource **Type I and Type II Errors - Making Mistakes in the Justice System

This webpage uses the criminal trials in the US Justice system to illustrate hypothesis testing, type I error, and type II error. An applet allows the user to examine the probability of type I errors and type II errors under various conditions. An applet allows users to visualize p-values and the power of a test. Keywords: type I error, type II error, type one error, type two error, type 1...
View Resource Power Simulation Applet

This applet demonstrates the concept of power. Users select the hypothesized mean, the alternative mean, the sample size, and the number of samples. The applet shows the hypothesized histogram and the alternative histogram. Users then select either the level of significance and set alpha or the rejection region and set the test statistic. The applet then shows the p-value (in red) and power...
View Resource Power Curve Applets

These four applets demonstrate effects on the power curve for the difference in means, the difference in proportions, the mean change, and the correlation coefficient. Each applet allows users to manipulate different parameters to see the effects on power.
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