####
Activity Overview

Students explore nonparametric tests for dependent and independent data samples.

####
Before the Activity

See the attached PDF file for detailed instructions for this activity
Print pages 133 - 142 from the attached PDF file for your class
####
During the Activity

Distribute the pages to the class.

Follow the Activity procedures:

Sign Test for Two Dependent Samples:

Enter data for two dependent samples
Use the binomial cumulative distribution function to determine the p-value
Test the null hypothesis based on the p-value
Wilcoxon Signed-Ranks Test for Two Dependent Samples:

Enter the blood pressure data of subjects before and after medication as lists
Sort the absolute values of the differences and put the ranks in another list
Calculate the p-value
Evaluate the hypothesis
Wilcoxon Mann-Whitney Test for Two Independent Samples:

Enter the test scores of students taught using two methods as lists
Create a list to insert the augment values
Sort the values and insert ranks
Determine the average rank values
Find the number of ways of getting the ranks
Determine the p-value and evaluate the null hypothesis
Use normal approximation to make the calculations easy
Determine the mean and standard deviation
Calculate the z-score and the p-value
Randomization Test for Two Independent Samples:

Use the program RAN2IND to find the difference between the means of the two samples
Plot a histogram of all the differences
Examine the distribution and evaluate the null hypothesis
####
After the Activity

Review student results:

As a class, discuss questions that appeared to be more challenging
Re-teach concepts as necessary