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Answering Questions With Statistics
Quiz 14: Analysis of Variance
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Question 1
Multiple Choice
Your research hypothesis is "In the population, the average number of days female unauthorized immigrants stay in the U.S. is longer than the average number of days male unauthorized immigrants stay in the U.S." What type of hypothesis test should be used?
Question 2
Multiple Choice
An author reports the following information about a one-way ANOVA: F = 0.95, df = 3 and 48, p = .231. Which of the following is true?
Question 3
Multiple Choice
You are doing a one-way ANOVA. What level of measurement is required on the two variables you are using? (Circle the letter of the correct answer.)
Question 4
Multiple Choice
If race and gender have a significant interaction effect on years of schooling,
Question 5
Multiple Choice
Your research hypothesis is "In the population, there is a difference in the average number of work days per year lost due to injury among the following groups: secretaries, professors, police officers, and ministers." What type of hypothesis test should be used?
Question 6
Multiple Choice
Your one-way ANOVA research hypothesis was that average years of schooling (EDUC) differed between strong Republicans, Independents, and strong Democrats. On the basis of the following output, which pairs of groups significantly differ? Multiple Comparisons EDUC Tukey HSD
(I) POLPARTY
(J) POLPARTY
Mean
Difference (1-
J
Std. Error
Sig.
1
strong Republican
4
independent
1.64
7
∗
.
602
.
018
7
strong Democrat
−
471
.
606
.
718
4
independent
1
strong Republican
−
1.64
7
∗
.
602
.
018
7
strong Democrat
−
2.11
8
∗
.
511
.
000
7
strong Democrat
1
strong Republican
471
.
606
.
718
4
independent
2.11
8
∗
.
511
.
000
\begin{array}{|ll|r|r|r|}\hline & & & & \\\text { (I) POLPARTY } & \text { (J) POLPARTY } & \begin{array}{c}\text { Mean } \\\text { Difference (1- } \\\mathrm{J}\end{array} & \text { Std. Error } & \text { Sig. } \\\hline 1 \text { strong Republican } & 4 \text { independent } & 1.647^{*} & .602 & .018 \\& 7 \text { strong Democrat } & -471 & .606 & .718 \\\hline 4 \text { independent } & 1 \text { strong Republican } & -1.647^{*} & .602 & .018 \\& 7 \text { strong Democrat } & -2.118^{*} & .511 & .000 \\\hline 7 \text { strong Democrat } & 1 \text { strong Republican } & 471 & .606 & .718 \\& 4 \text { independent } & 2.118^{*} & .511 & .000 \\\hline\end{array}
(I) POLPARTY
1
strong Republican
4
independent
7
strong Democrat
(J) POLPARTY
4
independent
7
strong Democrat
1
strong Republican
7
strong Democrat
1
strong Republican
4
independent
Mean
Difference (1-
J
1.64
7
∗
−
471
−
1.64
7
∗
−
2.11
8
∗
471
2.11
8
∗
Std. Error
.602
.606
.602
.511
.606
.511
Sig.
.018
.718
.018
.000
.718
.000
∗
*
∗
. The mean difference is significant at the
0.05
0.05
0.05
level.
Question 7
Multiple Choice
On the basis of this output, which of the following is true? Tests of Between-Subjects Effects Dependent Variable:INCOME
Source
Type III Sum
of Squares
df
Mean Square
F
Sig.
Corrected Model
1.810
E
10
5
3.619
E
9
4.303
.
001
Intercept
9.911
E
10
1
9.911
E
10
117.844
.
000
MARRIED
6.674
E
9
2
3.337
E
9
3.967
.
021
SEX
4.128
E
9
1
4.128
E
9
4.908
.
028
MARRIED * SEX
1.308
E
9
2
6.540
E
8
.
778
.
461
Error
1.354
E
11
161
8.410
E
8
Total
3.156
E
11
167
Corrected Total
1.535
E
11
166
\begin{array}{|l|r|r|r|r|r|}\hline \text { Source } & {\begin{array}{c}\text { Type III Sum } \\\text { of Squares }\end{array}} & \text { df } & \text { Mean Square } & {\mathrm{F}} & {\text { Sig. }} \\\hline \text { Corrected Model } & 1.810 \mathrm{E} 10 & 5 & 3.619 \mathrm{E} 9 & 4.303 & .001 \\\text { Intercept } & 9.911 \mathrm{E} 10 & 1 & 9.911 \mathrm{E} 10 & 117.844 & .000 \\\text { MARRIED } & 6.674 \mathrm{E9} & 2 & 3.337 \mathrm{E9} & 3.967 & .021 \\\text { SEX } & 4.128 \mathrm{E9} & 1 & 4.128 \mathrm{E} 9 & 4.908 & .028 \\\text { MARRIED * SEX } & 1.308 \mathrm{E} 9 & 2 & 6.540 \mathrm{E} 8 & .778 & .461 \\\text { Error } & 1.354 \mathrm{E} 11 & 161 & 8.410 \mathrm{E} 8 & & \\\text { Total } & 3.156 \mathrm{E} 11 & 167 & & & \\\text { Corrected Total } & 1.535 \mathrm{E} 11 & 166 & & & \\\hline\end{array}
Source
Corrected Model
Intercept
MARRIED
SEX
MARRIED * SEX
Error
Total
Corrected Total
Type III Sum
of Squares
1.810
E
10
9.911
E
10
6.674
E9
4.128
E9
1.308
E
9
1.354
E
11
3.156
E
11
1.535
E
11
df
5
1
2
1
2
161
167
166
Mean Square
3.619
E
9
9.911
E
10
3.337
E9
4.128
E
9
6.540
E
8
8.410
E
8
F
4.303
117.844
3.967
4.908
.778
Sig.
.001
.000
.021
.028
.461
a. R Squared
=
.
118
(
= .118 (
=
.118
(
Adjusted R Squared
=
.
090
)
= .090 )
=
.090
)
Question 8
Multiple Choice
You are doing a two-way ANOVA. What level of measurement is required for the dependent variable?
Question 9
Multiple Choice
Your research hypothesis is "In the population, the average number of days unauthorized immigrants stay in the United States is less than 450." What type of hypothesis test should be used?
Question 10
Multiple Choice
"The educational attainment difference between persons raised by a single parent and persons raised by two parents is larger for lower social class families than for upper social class families." This is a description of