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14440CAUSEweb.orgen-useditor@causeweb.orgwebmaster@causeweb.orgFri, 25 Jul 2014 12:00:00 -0400Tue, 20 May 2014 12:00:00 -0400http://www.rssboard.org/rss-2-0-1McNemar's Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1363
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1363This calculator computes the p-value for McNemar's Test, which determines if the pair AB is as likely as the pair BA. The user inputs values in a 2x2 table, where the pairs AA and BB are ignored. The null hypothesis is that the pairs are equally likely.Sun, 24 Feb 2013 11:33:36 -0500The Wilcoxon Matched-Pairs Signed-Ranks Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1364
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1364This calculator computes the p-value for the Wilcoxon Matched-Pairs Signed-Ranks Test, which determines if the members of a pair differ in size. The user inputs either the pairs or the differences in the pairs. The null hypothesis is that the median difference of the pairs is zero.Sun, 24 Feb 2013 11:33:08 -0500The Sign Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1362
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1362This calculator computes the p-value for the Sign Test. The user inputs the number of observations above the median (n+) and below the median (n-). The null hypothesis is that values above and below the median are equally likely.Sun, 24 Feb 2013 11:33:02 -0500The Chi-Square Distribution
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1361
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1361This calculator computes probabilities from the Chi-square distribution. Enter the Chi-square statistic (X^2) and the degress of freedom, and the calculator returns the right tail probability at the top of the page.Sun, 24 Feb 2013 11:32:36 -0500The Binomial Distribution
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1358
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1358This calculator computes probabilities from the binomial distribution. The user inputs the number of successes (x), the probability of success (p), and the sample size (N). P(X>=x) is returned at the top of the page.Sun, 24 Feb 2013 11:32:04 -0500The Normal Distribution
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1359
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1359This calculator computes probabilities from the standard normal distribution. The user inputs the z-score (Z), and P(|Z|>=z) is returned at the top of the page.Sun, 24 Feb 2013 11:31:46 -0500The Wilcoxon Two Sample Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1368
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1368This calculator computes the p-value for the Wilcoxon Test. The user inputs values for two samples. The null hypothesis is that the populations from which the two samples are taken have identical median values.Sun, 24 Feb 2013 11:26:14 -0500The Rank Correlation Coefficient
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1371
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1371This calculator computes the rank correlation coefficient (R) and p-value for the Rank Correlation Test. The user inputs observation pairs (x,y). The null hypothesis is that their is no monotonic relation between the variables (i.e., any increase in one variable is NOT associated with either an increase or a decrease in the other variable).Sun, 24 Feb 2013 11:25:46 -0500The Correlation Coefficient
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1372
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1372This calculator computes the correlation coefficient (R) and p-value as well as the linear regression line for observation pairs (x,y) input by the user. The null hypothesis is that the pairs are uncorrelated.Sun, 24 Feb 2013 11:25:25 -0500Chi-Square Test for Equality of Distributions
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1375
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1375This calculator computes the chi-square statistic, degrees of freedom (DoF), and p-value for the Chi-square test for equality of distributions. Users input a table of values with row and column labels without total scores. The null hypothesis is that the all the samples have the same distribution.Sun, 24 Feb 2013 11:25:01 -0500Two Correlation Coefficients
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1373
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1373This calculator computes the p-value for comparing two correlation coefficients. Users input two correlation coefficients (R1,R2) and two sample sizes (N1,N2). The null hypothesis is that the correlation coefficients are equal.Sun, 24 Feb 2013 11:24:27 -0500Binomial Proportions
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1367
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1367This calculator computes the probability that two proportions are equal, given sample proportions. The user inputs values for x1, n1, x2, and n2. The null hypothesis is that the two proportions are equal.Sun, 24 Feb 2013 11:24:00 -0500The Student T Test for One Sample
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1365
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1365This calculator computes the t-statistic, degrees of freedom (DF), and p-value for the Student's t Test for pairwise differences. The user inputs either the pairs or the differences in the pairs. The null hypothesis is that the mean difference of the pairs is zero.Sun, 24 Feb 2013 11:22:22 -0500The Student T Distribution
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http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1360This calculator computes probabilities from the student t distribution. The user inputs t and the degress of freedom, and P(|T|>=t) is returned at the top of the page.Sun, 24 Feb 2013 11:21:57 -0500The Student-t Test for Two Samples
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1369
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1369This calculator computes summary statistics, the t-statistic, degrees of freedom (DF), and p-value for the Student t-Test. The user inputs values for two samples. The null hypothesis is that the populations have identical mean values.Sun, 24 Feb 2013 11:16:43 -0500Friedman Test
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1370
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1370This calculator computes Kendall's coefficient of concordance (W), Q (approximated by chi-square), degrees of freedom (DoF), and p-value for the Friedman Test. The user inputs a table of values with row and column titles, without total scores. Beginning a line with # excludes the line from the computation. The null hypothesis is that the distributions of ranks within rows are unrelated between rows.Sun, 24 Feb 2013 11:14:42 -0500Chi-Square Test for Known Distributions
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1374
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1374This test checks whether an observed distribution differs from an expected distribution. It computes the chi-square statistic, degrees of freedom (DoF), and p-value. Users input a table with row and column labels, observed frequencies on the first row, and expected frequencies on the second row. The null hypothesis is that the observed values have the expected frequency distribution.Sun, 24 Feb 2013 11:09:59 -0500IDEAL: Two-Sample Hypothesis Testing
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1312
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1312This example compares balance measurements in elderly people with those of young men through two-sample hypothesis testing for means. Two applets are provided; one for testing the assumptions beneath two-sample hypothesis tests, and one for calculating the test statistic and p-value.Sun, 24 Feb 2013 10:52:30 -0500IDEAL: Hypothesis Testing for Paired Differences in Means
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1313
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1313This page provides three examples designed to illustrate hypothesis testing for paired differences in means. Example #2 requires Lisp-Stat. The other two examples each contain applets that calculate the test statistic and p-value. Examples #1 and #3 are about city murder rates and types of corn seed, respectively.Sun, 24 Feb 2013 10:49:49 -0500IDEAL: Contingency Tables
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1314
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1314This module demonstrates how to perform two chi-square tests, the chi-square test of independence and the chi-square test of homogeneity, through the use of contingency tables. The applets provided ask users to fill in expected cell frequencies in the table.Sun, 24 Feb 2013 10:47:03 -0500IDEAL: The Normal Distribution
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1320
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1320This module discusses the history and importance of the normal distribution, as well as normal moments, the standard normal distribution, normal probabilities, Z-Scores, and normal quantiles. The applet allows users to compute normal probabilities and quantiles. Three follow-up examples cover cholesterol, male heights, and mean temperatures for various cities in South Carolina.Sun, 24 Feb 2013 10:46:14 -0500IDEAL: Probability Definitions
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1305
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1305This module discusses the probability of an event and relative frequency. The applet shows how empirical probability converges to theoretical probability as the sample size increases. The follow-up example includes an applet that simulates drawing differently colored balls from an urn.Sun, 24 Feb 2013 10:19:29 -0500IDEAL: Hypothesis Testing
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1311
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1311This module introduces hypothesis testing with an example on breast cancer rates of Peurto Rican women. The applet provided allows users to manipulate power type, sigma, alpha, delta, and sample size. The Example link at the bottom of the page provides a more detailed discussion of power and instructions for the applet.Sun, 24 Feb 2013 10:18:17 -0500IDEAL: The Poisson Distribution
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1307
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1307This module discusses the conditions of a Poisson experiment and the Poisson distribution. The applet allows the user to compute probabilities from the Poisson distribution. A follow-up example covers horse-kick deaths of Prussian military personnel.Sun, 24 Feb 2013 10:17:03 -0500IDEAL: Confidence Intervals for Paired Differences
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1310
http://www.causeweb.org/cwis/index.php?P=FullRecord&ResourceId=1310This page provides two examples that illustrate confidence intervals for paired differences in means. Each exercise provides an applet which graphs the data and calculates the interval. The first example is about city murder rates, and the second is about preparation of tobacco leaves.Sun, 24 Feb 2013 10:15:43 -0500