Q1. In a study of binge drinking among undergraduates at Ohio
University, a researcher was interested in gender differences as
related to binge drinking and to drinking-related arrests. She
wanted to know two things: (a) Is there a significant relationship
between gender and binge drinking (as defined by 5 or more drinks
at one sitting), and (b) Is there a significant relationship
between gender and drinking-related arrests? A random sample of
males and females were asked about their experiences with binge
drinking and with drinking-related arrests.
Use the numbers below for this question
only!
Experience
Alcohol-related Arrest?
YES NO
Male 279 254
Female 293 254
What would the expected value for the "male-no"
cell be?
Q2. In a study of binge drinking among undergraduates at Ohio
University, a researcher was interested in gender differences as
related to binge drinking and to drinking-related arrests. She
wanted to know two things: (a) Is there a significant relationship
between gender and binge drinking (as defined by 5 or more drinks
at one sitting), and (b) Is there a significant relationship
between gender and drinking-related arrests? A random sample of
males and females were asked about their experiences with binge
drinking and with drinking-related arrests.
Use the numbers below for this question
only!
Experience
Alcohol-related Arrest?
YES NO
Male 202 287
Female 230 220
What would the expected value for the "female-yes"
cell be?
Q3. In a study of binge drinking among undergraduates at Ohio
University, a researcher was interested in gender differences as
related to binge drinking and to drinking-related arrests. She
wanted to know two things: (a) Is there a significant relationship
between gender and binge drinking (as defined by 5 or more drinks
at one sitting), and (b) Is there a significant relationship
between gender and drinking-related arrests? A random sample of
males and females were asked about their experiences with binge
drinking and with drinking-related arrests. Test for a relationship
in the following data:
Use the numbers below for this question
only!
Experience
Alcohol-related Arrest?
YES NO
Male 43 29
Female 28 39
What is the calculated chi-squared value?
Q4.
Using a critical value of 3.84, and based on the obtained chi-square value in Question 13, is there a significant relationship between gender and alcohol-related arrests?
Yes
No
1)
yes | no | Total | |
male | 279 | 254 | 533 |
female | 293 | 254 | 547 |
total | 572 | 508 | 1080 |
expected value for the "male-no" cell be =row total*column total/grand total=(533*508/1080)
=250.707
2)
expected value for the "female-yes" cell be =432*450/939 =207.029
3)
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | yes | no | Total |
male | 36.780 | 35.223 | 72.00302158 | |
female | 34.223 | 32.777 | 67 | |
total | 71.00302158 | 68 | 139.0030216 | |
chi square χ2 | =(Oi-Ei)2/Ei | yes | no | Total |
male | 1.052 | 1.099 | 2.1513 | |
female | 1.132 | 1.181 | 2.3131 | |
total | 2.1835 | 2.2810 | 4.464 | |
test statistic X2 = | 4.464 |
4)
yes, since test statistic is higher than critical value
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