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MKT 345 MARKETING RESEARCH (TERM 071)
QUIZ # 4 (TUESDAY, JAN. 15, 2008) - Dr. Alhassan G. Abdul-Muhmin
NAME: ______________________________________________
ID # ____________________
NOTE: Each question carries one point
1.
Which of the following analysis techniques can you use to investigate the relationship between two variables, both of
which are measured at the ratio level?
A. Analysis of variance (ANOVA)
B. Correlation analysis
C. Chi-square analysis (Crosstabulation)
2.
You want to investigate the relationship between two variables, one of which is dependent and the other is
independent. The dependent variable is an interval-level variable and the independent is a nominal variable. Which of
the following techniques can you use?
A. Analysis of variance (ANOVA)
B. Correlation analysis
C. Chi-square analysis (Crosstabulation)
The Table below shows results from a frequency analysis of respondents' nationality in a previous MKT 345 class project.
There were two possible answers to the question (Saudi and Non-Saudi). Use it to answer the next two questions.
NATION Nationality
Valid
Mis sing
Total
Saudi
Non-Saudi
3
Total
System
Frequency
124
13
1
138
3
141
Percent
87.9
9.2
.7
97.9
2.1
100.0
Valid Percent
89.9
9.4
.7
100.0
Cumulative
Percent
89.9
99.3
100.0
3.
What is the sample size used in the analysis?
A. 138
B. 141
C. 100
D. It is not possible to tell from the Table
4.
What percent of those who answered the question are non-Saudis?
A. 13%
B. 9.2%
C. 9.4%
D. 99.3%
5.
Which of the following is/are likely to be true regarding the number 3 in the second column (i.e. the number between
“Non-Saudi” and "Total")?
A. It is the result of an error in the data entry
B. It indicates a respondent whose nationality is not one of the two options
C. It is the result of an error made by SPSS in computing the frequencies
D. Only A and C
The Tables below show results of a regression analysis conducted on two of the variables in our class project. Use them to
answer the next three questions.
Regression
Model Summary
Model
1
R
R Square
Adjusted R Square
Std. Error of the Estimate
.315a
.099
.093
1.47519
a. Predictors: (Constant), Overall satisfaction with STC
ANOVAb
Model
1
Sum of Squares
df
Mean Square
F
Sig.
Regression
33.982
1
33.982
15.615
.000a
Residual
309.018
142
2.176
Total
343.000
143
a. Predictors: (Constant), Overall satisfaction with STC
b. Dependent Variable: Loyalty toward STC
Coefficientsa
Unstandardized
Coefficients
Model
1
B
Std. Error
(Constant)
2.640
.385
Overall satisfaction
with STC
.329
.083
Standardized
Coefficients
Beta
.315
95% Confidence Interval
for B
t
Sig.
Lower
Bound
Upper
Bound
6.850
.000
1.878
3.402
3.952
.000
.164
.493
a. Dependent Variable: Loyalty toward STC
6.
What is this type of regression called?
A.
Multiple regression
B.
Simple regression
C.
Dependent variable regression
D.
Independent variable regression
E.
Non-linear regression
7.
What proportion of variance in the dependent variable is explained by the significant independent variables?
A. 100%
B. 31.5%
C. 9.9%
D. 14.7%
8.
Using alpha=0.05, what can we conclude about the coefficient for overall satisfaction with STC?
A.
It is significantly different from zero in the population
B.
It is significantly different from zero in the sample
C.
It is NOT significantly different from zero in the population
D.
It is NOT significantly different from zero in the sample
The Tables below show results of independent samples T-Test obtained from analysis of the data from our class project
questionnaire using SPSS. Use the Tables to answer the next three questions. (NOTE: According to the scale used in the
questionnaire a higher satisfaction score indicates a higher level of satisfaction).
T-Test
Group Statistics
Q24a Landline
Monthly Bill
Marital Status
N
Mean
Std. Deviation
Std. Error Mean
Married
40
163.50
217.498
34.389
Single
56
136.43
167.141
22.335
Independent Samples Test
Levene's Test for
Equality of
Variances
Q24a
Landline
Monthly Bill
Equal variances
assumed
Equal variances
not assumed
t-test for Equality of Means
F
Sig.
t
df
Sig. (2tailed)
Mean
Std. Error
Difference Difference
.838
.362
.689
94
.492
27.071
.660
7.001
.511
27.071
95% Confidence
Interval of the
Difference
Lower
Upper
39.264
-50.888
105.031
41.006
-54.712
108.855
9.
Which of the following questions was the analysis conducted to answer?
A. Is there is a relationship between marital status and monthly landline phone bill?
B. Does monthly landline phone bill affect marital status?
C. Both A and B
10.
In the second Table, which of the two rows should we use to test for equality of means between the two groups, given
α = 0.05?
A. The first row, i.e. the one labeled “Equal variances assumed”
B. The second row, i.e. the one labeled “Equal variances not assumed”
11.
Given α = 0.05, what conclusion can we draw from the t-test for equality of means about the population from which
the sample is drawn?
A. In the population, there is NO relationship between marital status and monthly landline phone bill.
B. In the population, there is a relationship between marital status and monthly landline phone bill; married
respondents have significantly higher phone bills than singles.
C. In the population, there is a relationship between marital status and monthly landline phone bill; married
respondents have significantly lower phone bills than singles.
D. It is not possible to draw any conclusions from the results.