Sociology 3211
Sample Test #2
Oct 25, 2015
Name:
1. One of the variables in the class data set is how often you get the emotional
support you need (1=always….5=never). Another variable is marital status
(1=married, 2=divorced, 3=widowed, 4=separated, 5=never married, 6=member
of unmarried couple). If you wanted to see if there was an association between
the variables, you should:
a.Compute the mean of emotional support for each category of marital status
b. Compute the mean of marital status for each level of emotional support
c. Either a or b
d. Compare the frequency tables for the two variables
2. The mean reported weight in the class data set is 174 pounds. The standard
deviation of weight is 42.8 pounds, and there are 4060 cases. Compute the 95%
confidence interval for mean weight, and explain what it means.
RESPONDENTS SEX * PHYSICAL ACTIVITY AT WORK Crosstabulation
PHYSICAL ACTIVITY AT WORK
Sitting or standing
SEX
Male
Count
%
Female
Count
%
Total
Count
%
Walking
Heavy labor
495
180
158
833
59.4%
21.6%
****
100.0%
841
229
86
1156
72.8%
19.8%
7.4%
100.0%
1336
409
244
1989
67.2%
20.6%
12.3%
100.0%
3. I have replaced one of the percentages in the above table by ****. What is the
correct number?
4. Compute the predicted number, under the hypothesis of independence, of men
whose job involves sitting or standing.
1
Total
5. Compute the residual for the number of men whose job involves sitting or
standing.
6. Compute the standardized residual for the number of men whose job involves
sitting or standing.
7. If the standardized residual for a cell is negative, that means that:
a.you made a mistake in calculation
b.the predicted value was larger than the actual value
c.the predicted value was smaller than the actual value
d.the predicted value was far from the actual value
Report
DRINK ANY ALCOHOLIC
Mean
BEVERAGES IN PAST 30
Educ.
N
Std. Deviation
Yes
5.14
1980
.953
No
4.61
2168
1.096
Total
4.86
4148
1.063
8. Use the table to calculate the 95% confidence interval for the difference in mean
education between people who drink and those who do not (use the exact
method).
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.356
.128
EDUCATION LEVEL
.128
.026
Coefficients
Beta
a. Dependent Variable: AVG ALCOHOLIC DRINKS PER DAY IN PAST 30
2
t
.078
Sig.
2.793
.005
5.003
.000
This table gives the results from a regression of average drinks of alcohol
per day on education (1=none, 2=elementary, 3=attended high school,
4=graduated high school, 5=attended college, 6=graduated college).
9. What is the predicted number of drinks per day for a person who graduated from
college?
10. Suppose that a person who graduated from college has two drinks per day. What
is his residual?
11. The following (imaginary) data show class standing (1=freshman …. 4=senior)
and absences in some course. Use them to calculate the correlation.
Class
1
1
2
2
2
2
2
3
3
4
4
4
absent
3
6
2
5
8
4
6
0
4
10
6
6
12. The correlation from the preceding question means that:
a. students with a higher class standing tend to be absent more often
b. students with a higher class standing tend to be absent less often
c. students in the middle (sophomores and juniors) are absent less often than
freshman and seniors
d. class standing makes no difference for the number of absences
13. What are the smallest and largest possible values of a correlation?
3