To: sbaker@odu.edu
From: Thomas Meyer
tmeyer@ph.vccs.edu
276 656-0283
Patrick Henry Community College
Subject: Statistics - w/ Dr.Spencer Baker - Homework Assignment #4, Ch 15 - Problem 22, page 402.
Date: March 28, 2004
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Use the following algorithm:
1. Get the data
2. Manipulate the data
To conduct the Chi-square test:
Having loaded the data
Click Analyze menu and choose Descriptive Statistics
select Crosstabs...
Move the variable "Recruitment Strategy" into the row;
Move the variable "Donate Blood" into the column.
Click Statistics and mark Chi-square.
Click Continue box
Note: When the variable you are testing is dichotomous (such as gave blood, did not give blood, is a democrat, isn't a democrat) use the chi-square as a test statistic, or use the binomial distribution.
When the variable you are testing is continuous (such as intelligence, persistance, emotive level, etc.) use the t-test statistic to determine whether outcomes differ from what could have been predicted from chance alone.
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Question:
Use the SPSS data bank provided with this book to conduct a X2 (chi-square) test of
independence analysis of the data contained in the data file donate.sav.
Conduct an analysis to answer the question. "Is the recruitment strategy
(recruit; 1= control,2 = information session, 3 = information session and
empathic video) related to the number of people who donated blood (donate;0 =
did not donate blood, 1 = donated blood)?" Given the result of your
analysis, what answer would you provide for this question?
Answer:



Alpha is .05. The Person Chi-Square 2-sided test statistic is .026, which is less than the alpha value of .05. Thus the recruitment strategies resulted in different proportions of people who gave blood. The information session & video strategy resulting in 12 donations from 40 donors exceeded the information session only strategy that produced 6 donations from 40 donors. This difference was more than might have been expected by chance alone.
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filename: StatHW3Ch15Prob22page402TomMeyer.doc
Tom Meyer
Thomas Meyer