StatCrunch logo (home)

Report Properties
Thumbnail:

from Flickr
Created: Jan 13, 2010
Share: no
Views: 1163
Tags:
 
Results in this report
 
Data sets in this report
 
Need help?
To copy selected text, right click to Copy or choose the Copy option under your browser's Edit menu. Text copied in this manner can be pasted directly into most documents with formatting maintained.
To copy selected graphs, right click on the graph to Copy. When pasting into a document, make sure to paste the graph content rather than a link to the graph. For example, to paste in MS Word choose Edit > Paste Special, and select the Device Independent Bitmap option.
You can now also Mail results and reports. The email may contain a simple link to the StatCrunch site or the complete output with data and graphics attached. In addition to being a great way to deliver output to someone else, this is also a great way to save your own hard copy. To try it out, simply click on the Mail link.
Triola Section 13-5, Example 1 KRUSKAL-WALLIS TEST
Mail   Print   Twitter   Facebook

Kruskal-Wallis Test for Three or More Independent Samples

The Kruskal-Wallis test uses sample data from three or more independent samples to test the null hypothesis that the samples are from populations with the same median.

Let's consider Example 1 in Section 13-5. Begin by entering the sample data (Table 13-6 in the textbook) in three columns as shown in the StatCrunch Data window at the end of this report.

In StatCrunch, click on Stat, click on Nonparametrics, then select Kruskal-Wallis.

In the next window, select the columns containing the sample data, as shown below.

 

Result 1: Snapshot of Kruskal-Wallis Dialog   [Info]
Right click to copy


 

 

Click onCalculate to get these results:

 

Result 2: Kruskal-Wallis   [Info]
Kruskal-Wallis results:
Data stored in separate columns.
Chi Square = 5.8345547 (adjusted for ties)
DF = 2
P-value = 0.0541
Column n Median Ave. Rank
Small 10 44 20.35
Medium 10 42.5 15.25
Large 10 38 10.9


 

Interpreting Results: See that the above results include the P-value of 0.0541. Because that P-value is large (greater than 0.05), we fail to reject the null hypothesis of equal population medians, and we get the same conclusions given in Example 1 in the textbook.

Data set 1. Kruskal-Wallis   [Info]
To analyze this data, please sign in.

Comments
Want to comment? Subscribe
Already a member? Sign in.

Always Learning