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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgSun, 26 Oct 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1**Power Tutorial
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2280
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=2280This tutorial is intended to teach students how power in a one-sample Z-test is influenced by effect size, variability (population standard deviation), sample size, and significance level. WISE Power Tutorial can be used in a variety of settings including as a tutorial for an individual student, during a lab, and after a lecture. The applet embedded in the tutorial could be used during an in-class demonstration.Sun, 30 Jan 2011 01:36:32 -0500Quote: Acton on Power
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1979
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1979"Power tends to corrupt, and absolute power corrupts absolutely." is a famous quote of English historian Sir John Dalberg-Acton (1834 - 1902). Of course, Lord Acton was not referring to statistical hypothesis testing when he made the remark in an April 1887 letter to Mandell Creighton. However, the widespread knowledge of the quote by students makes it an interesting way to cover the idea that statistical significance is not the same as practical significance.Fri, 23 Oct 2009 09:44:14 -0400Power Curve Applets
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1500
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1500These 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.Wed, 23 Aug 2006 09:13:07 -0400Power for a One-Sample Z-Test Applet
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1034
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1034This 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 other factors.Wed, 22 Jun 2005 02:58:17 -0400Power of a Hypothesis Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1032
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1032This 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 http://www.amstat.org/publications/jse/v6n3/applets/power.html.Wed, 22 Jun 2005 02:35:41 -0400Power Simulation Applet
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1447
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1447This 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 (in green). User can also determine the direction of the test by clicking the inequality sign.Mon, 20 Jun 2005 01:27:33 -0400**Type I and Type II Errors - Making Mistakes in the Justice System
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=961This 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 error, type 2 errorThu, 19 May 2005 02:10:56 -0400Lecture and Lab Things
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=777
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=777This page is a collection of examples, demonstrations, and exercises that can be used to motivate a lecture, demonstrate an important point, or create a laboratory exercise for students. Topics include the following: Descriptives, Normal Distribution, Sampling Distributions, Probability, Chi-Square, t tests, Power, Correlation/Regression, One-way Anova, Multiple Comparisons, Factorial Anova, Repeated Measures, Multiple Regression, General Linear Model, Log Linear Models, and Distribution-Free Tests.Fri, 13 May 2005 11:58:24 -0400Star Library: Simulating Size and Power Using a 10-Sided Die
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=916
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=916This group activity illustrates the concepts of size and power of a test through simulation. Students simulate binomial data by repeatedly rolling a ten-sided die, and they use their simulated data to estimate the size of a binomial test. They carry out further simulations to estimate the power of the test. After pooling their data with that of other groups, they construct a power curve. A theoretical power curve is also constructed, and the students discuss why there are differences between the expected and estimated curves. Key words: Power, size, hypothesis testing, binomial distribution Thu, 12 May 2005 02:49:31 -0400Star Library: What is the Significance of a Kiss?
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=898
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=898This article describes an interactive activity illustrating general properties of hypothesis testing and hypothesis tests for proportions. Students generate, collect, and analyze data. Through simulation, students explore hypothesis testing concepts. Concepts illustrated are: interpretation of p-values, type I error rate, type II error rate, power, and the relationship between type I and type II error rates and power. This activity is appropriate for use in an introductory college or high school statistics course. Key words: hypothesis test on a proportion, type I and II errors, power, p-values, simulation Thu, 12 May 2005 12:03:48 -0400Statistical Applets: Power
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=570
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=570This applet is designed to help students visualize power and its relationship to type I error by allowing them to adjust null and alternative hypotheses, sample size, standard deviation, and type I error. It accompanies “Practice of Business Statistics,” but can be used without this text.Fri, 8 Apr 2005 01:36:42 -0400**Java Applets for Power and Sample Size
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=503
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=503Sat, 12 Feb 2005 10:49:53 -0500Power Applet
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=64
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=64The applets in this section of Statistical Java address Power. Users can perform one or two tailed tests for proportions or means for one or two samples. Set the parameters and drag the mouse across the graph to see how effect size affects power. An article and an alternative source for this applet can be found at http://www.amstat.org/publications/jse/v11n3/java/power/This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/Power.htmlTue, 27 Jul 2004 04:24:20 -0400Power Applet
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=36
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=36Introduces the concept of power and the relationship between power and effect size, alpha, and sample size.Tue, 27 Jul 2004 10:46:20 -0400**An Introduction To Statistical Power
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=22
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=22This tutorial illustrates the relationship between statistical power and four features of the test situation. An applet allows the user to manipulate a factor and immediately see the effects on other factors.Tue, 27 Jul 2004 10:45:24 -0400What Statistical Power Means
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=205
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=205This site defines what satistical power is. It inclues graphical representations of power to help the user visualize what happens to power when the sample size changes.Sun, 25 Jul 2004 10:40:49 -0400HyperStat Online: Ch. 11, Power
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=204
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=204This site defines power and explains what factors may affect it, such as significance level, sample size and variance.Sun, 25 Jul 2004 10:33:48 -0400