What is it: Nonparametric Tests are often used in place of their parametric counterparts when certain assumptions about the underlying population are questionable. For example, when comparing two independent samples, the does not assume that the difference between the samples is normally distributed whereas its parametric counterpart, the two sample t-test does.

The Wilcoxon Signed-Rank test is a nonparametric equivalent of the One sample t-test. Run it in Excel using the XLSTAT statistical software. Adobe After Effects 7 Incl Keygen on this page. This video demonstrates how to conduct a Wilcoxon Signed-Rank Test in Microsoft Excel. The Wilcoxon Signed-Rank Test. The Wilcoxon Nonparametric Tests with MS. Sed for implementing the one-sample Wilcoxon signed-rank test. Section 3 describes the use of Excel and the Wilcoxon.

Nonparametric tests may be, and often are, more powerful in detecting population differences when certain assumptions are not satisfied. All tests involving ranked data, i.e. Data that can be put in order, are nonparametric. Examples of Nonparametric Tests are as follows: • Sign Test - Performs a one sample sign test of the median and calculates the corresponding point estimate and confidence interval. • Runs Test - Test whether or not the data order is random. • Mann-Whitney U Test - Performs a hypothesis test of the equality of population medians and calculates the corresponding point estimate and confidence interval.

• Wilcoxon's Signed Rank Test - Performs a one sample Wilcoxon signed rank test of the median and calculates the corresponding point estimate and confidence interval. • Kruskal-Wallis Test - Kruskal Wallis performs a hypothesis test of the equality of population medians for a one-way design (two or more populations). This test is a generalization of the procedure used by the Mann-Whitney test. • Friedman Test - Performs a non-parametric analysis of a randomized block experiment. Randomized block experiments are a generalization of paired experiments. The Friedman test is a generalization of the paired sign test with a null hypothesis of treatments having no effect. This test requires exactly one observation per treatment block combination. Gira Homeserver 3 Manual.

• Spearman Rank Correlation Coefficient Test When to use it: Use Nonparametric Tests when any of the following are true: • The data are counts or frequencies of different types of outcomes. • The data are measured on a nominal scale. • The data are measured on an ordinal scale. • The assumptions required for the validity of the corresponding parametric procedure are not met or cannot be verified • The sample size is small.

• The measurements are imprecise. • There are outliers and / or extreme values in the data, making the median more representative than the mean.

Thanks Quentin & RW9 for your suggestions. I am posting the hypothetical data as i can't post the original data. I have checked this in both Excel and SAS and i am posting the steps below: Data: Before After 125 110 115 122 130 125 140 120 140 140 115 124 140 123 125 137 140 135 135 145 In SAS: 1) I pasted these values as is in Excel sheet.

Then i imported this in SAS enterprise using import. The data was as is automatically converted into Num and SAS data set was created.

2) Then i created a new variable called diff = before-after and did proc univariate proc univariate data=test; var diff; run; 3) this gave me the bunch of statistical results and i think for WIlcoxon signed rank we need to see Signed rank (S)= 4.5 and Pr>=ISI = 0.6328 I am not sure how to interpret these and determine the significance. I know how to calculate the value of S= 4.5 and it is correct. But not the P value here. In Excel: 1) I use Real statistics addin in Excel and just ran the non-parametric test for two paired samples, alpha=.05, exact test, ties correction.

2) This gave me all the necessary values in one tail and we can double it for two tail. I got one tail P vaule=. Easycap Software Windows 10. 29421, two tail P value= >58842 then in excel it compares Tcrit by looking at Z score value from the Wilcoxon table and produces the results for significance. Now my project requires me to do this in SAS and we have been doing it in excel. Now that my results doesn't match, i am not sure if i am doing something wrong in SAS. You said you got the same value for the test statistic (4.5) from both SAS and Excel, right? That's good news.