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Introductory Statistics Study Set 1
Quiz 10: Inferences for Two Population Means
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Question 41
Essay
A statistician performs a Mann-Whitney test to compare the means of two populations using independent simple random samples. Suppose that the sum of the ranks for sample 1 is much larger than the sum of the ranks for sample 2 . Explain in your own words what this suggests about the relationship between
μ
1
\mu _ { 1 }
μ
1
​
and
μ
2
\mu _ { 2 }
μ
2
​
.
Question 42
Essay
Independent simple random samples of sizes 120 and 150 are taken from two populations with the intent of performing a hypothesis test to compare the means. Prior data analyses have indicated that the two population standard deviations are equal; however, the variable under consideration is not normally distributed on either population. Is it reasonable to use the pooled t-test in this situation? Explain your answer.
Question 43
Essay
A researcher wants to compare the mean systolic blood pressures for adults ages 20-29 and adults ages 30-39. Identify the variable under consideration and the two populations. Suppose the researcher wants to perform a hypothesis test to decide whether the mean systolic blood pressure for adults aged 20-29 is lower than the mean systolic blood pressure for adults aged 30-39. State the null and alternative hypotheses for the hypothesis test.
Question 44
Essay
Preliminary data analyses indicates that use of a paired t-test is reasonable. Perform the hypothesis test by using eitherthe critical-value approach or the P-value approach as indicated. Assume that the null hypothesis is
H
0
:
μ
1
=
μ
2
\mathrm { H } _ { 0 } : \mu _ { 1 } = \mu _ { 2 }
H
0
​
:
μ
1
​
=
μ
2
​
-Five students took a math test before and after tutoring. Their scores were as follows.
 SubjectÂ
 AÂ
 BÂ
 CÂ
 DÂ
 EÂ
 BeforeÂ
71
78
73
72
75
 AfterÂ
75
87
71
75
87
\begin{array} { c | r r r r r } \text { Subject } & \text { A } & \text { B } & \text { C } & \text { D } & \text { E } \\ \hline \text { Before } & 71 & 78 & 73 & 72 & 75 \\ \hline \text { After } & 75 & 87 & 71 & 75 & 87 \end{array}
 SubjectÂ
 BeforeÂ
 AfterÂ
​
 AÂ
71
75
​
 BÂ
78
87
​
 CÂ
73
71
​
 DÂ
72
75
​
 EÂ
75
87
​
​
At the 1% significance level, do the data provide sufficient evidence to conclude that the mean score before tutoring differs from the mean score after tutoring? Use the P-value approach.
Question 45
Essay
Suppose that you want to perform a hypothesis test based on independent simple random samples to compare the means of two populations. Assume that the variable under consideration is uniformly distributed on both of the populations and that the two population standard deviations are equal. Both sample sizes are small. Identify the procedures that could be used to carry out the hypothesis test, that is, the procedures whose assumptions are satisfied. If more than one procedure could be used, which one would be the best? Explain your answer.
Question 46
Essay
Suppose that you want to perform a hypothesis test to compare the means of two populations using paired samples. How would you decide between the paired t-test and the paired Wilcoxon signed-rank test?
Question 47
Essay
Preliminary data analyses indicate that you can reasonably use nonpooled t-procedures on the given data. Apply anonpooled t-test to perform the required hypothesis test, using either the critical-value approach or the P-value approachas indicated. -A researcher was interested in comparing the GPAs of students at two different colleges. Independent random samples of 8 students from college A and 13 students from college B yielded the following GPAs:
 College AÂ
 College BÂ
3.7
3.8
2.8
3.2
3.2
4.0
3.0
3.0
3.6
2.5
3.9
2.6
2.7
3.8
4.0
3.6
2.5
3.6
2.8
3.9
3.4
\begin{array} { c | c c } \text { College A } & { \text { College B } } \\\hline 3.7 & 3.8 & 2.8 \\3.2 & 3.2 & 4.0 \\3.0 & 3.0 & 3.6 \\2.5 & 3.9 & 2.6 \\2.7 & 3.8 & 4.0 \\3.6 & 2.5 & 3.6 \\2.8 & 3.9 & \\3.4 & &\end{array}
 College AÂ
3.7
3.2
3.0
2.5
2.7
3.6
2.8
3.4
​
 College BÂ
3.8
3.2
3.0
3.9
3.8
2.5
3.9
​
2.8
4.0
3.6
2.6
4.0
3.6
​
​
At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the P-value approach.
 (Note:Â
x
ˉ
1
=
3.1125
,
x
ˉ
2
=
3.4385
,
Â
s
1
=
0.4357
,
Â
s
2
=
0.5485.
)
\text { (Note: } \left. \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , \mathrm {~s} _ { 1 } = 0.4357 , \mathrm {~s} _ { 2 } = 0.5485 . \right)
 (Note:Â
x
ˉ
1
​
=
3.1125
,
x
ˉ
2
​
=
3.4385
,
Â
s
1
​
=
0.4357
,
Â
s
2
​
=
0.5485.
)
Question 48
Essay
Suppose that you want to perform a hypothesis test to compare the means of two populations using independent simple random samples. The two distributions of the variable under consideration have the same shape. How would you decide between the pooled t-test and the Mann-Whitney test?
Question 49
Essay
Suppose that you want to perform a hypothesis test to compare the means of two populations using a paired sample. Preliminary data analyses of the sample of paired differences suggest that the distribution of the paired-difference variable is skewed to the right . The sample of 20 paired differences contains an outlier. If it is not legitimate to remove the outlier, is it reasonable to use a paired t-test? Is it reasonable to use a paired Wilcoxon signed-rank test? Explain your thinking
Question 50
Essay
Preliminary data analyses indicate that you can reasonably use nonpooled t-procedures on the given data. Apply anonpooled t-test to perform the required hypothesis test, using either the critical-value approach or the P-value approachas indicated. -A researcher was interested in comparing the resting pulse rates of people who exercise regularly and people who do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do not exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate (in beats per minute)of each person was measured. The summary statistics are as follows.
 Do Not ExerciseÂ
 Do ExerciseÂ
x
‾
1
=
73.5
x
‾
2
=
68.5
Â
s
1
=
10.9
Â
s
2
=
8.2
n
1
=
16
n
2
=
12
\begin{array} { r | r } \text { Do Not Exercise } & \text { Do Exercise } \\ \hline \overline { \mathrm { x } } _ { 1 } = 73.5 & \overline { \mathrm { x } } _ { 2 } = 68.5 \\ \mathrm {~s} _ { 1 } = 10.9 & \mathrm {~s} _ { 2 } = 8.2 \\ \mathrm { n } _ { 1 } = 16 & \mathrm { n } _ { 2 } = 12 \end{array}
 Do Not ExerciseÂ
x
1
​
=
73.5
Â
s
1
​
=
10.9
n
1
​
=
16
​
 Do ExerciseÂ
x
2
​
=
68.5
Â
s
2
​
=
8.2
n
2
​
=
12
​
​
At the 2.5% significance level, do the data provide sufficient evidence to conclude that the mean resting pulse rate of people who do not exercise regularly is greater than the mean resting pulse rate of people who exercise regularly? Use the critical-value approach.
Question 51
Essay
Preliminary data analyses indicate that you can reasonably consider the assumptions for using pooled t-proceduressatisfied. Perform the required hypothesis test by using either the critical-value approach or the P-value approach asindicated. -A researcher was interested in comparing the GPAs of students at two different colleges. Independent simple random samples of 8 students from college A and 13 students from college B yielded the following GPAs.
 College AÂ
 College BÂ
3.7
3.82.8
3.2
3.24.0
3.0
3.03.6
2.5
3.92.6
2.7
3.84.0
3.6
2.53.6
2.8
3.9
3.4
\begin{array} { r | r } \text { College A } & \text { College B } \\ \hline 3.7 & 3.82 .8 \\ 3.2 & 3.24 .0 \\ 3.0 & 3.03 .6 \\ 2.5 & 3.92 .6 \\ 2.7 & 3.84 .0 \\ 3.6 & 2.53 .6 \\ 2.8 & 3.9 \\ 3.4 & \end{array}
 College AÂ
3.7
3.2
3.0
2.5
2.7
3.6
2.8
3.4
​
 College BÂ
3.82.8
3.24.0
3.03.6
3.92.6
3.84.0
2.53.6
3.9
​
​
At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the critical-value approach.
(
 Note:Â
x
ˉ
1
=
3.1125
,
x
ˉ
2
=
3.4385
,
s
1
=
0.4357
,
s
2
=
0.5485.
)
\left( \text { Note: } \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , s _ { 1 } = 0.4357 , s _ { 2 } = 0.5485 . \right)
(
 Note:Â
x
ˉ
1
​
=
3.1125
,
x
ˉ
2
​
=
3.4385
,
s
1
​
=
0.4357
,
s
2
​
=
0.5485.
)
Question 52
Essay
Provide an appropriate response. -Suppose a researcher wants to perform a hypothesis test to decide whether the mean systolic blood pressure for adults aged 20-29 is lower than the mean systolic blood pressure for adults aged 30-39. State the null and alternative hypotheses for the hypothesis test. Discuss the basic strategy for performing this hypothesis test, based on independent samples.
Question 53
Essay
The pooled t-test requires the assumption that the two population standard deviations be equal. What methods are available for checking this assumption? Which of these methods is not recommended and why is it not recommended?