Unformatted text preview: from one hospital produce a mean of 18.3 minutes. The 50
randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume
a σa = 2.1 minutes and σb = 2.92 minutes. Setup the null hypothesis to determine if there is a
difference in the mean waiting time between the two hospitals.
A. µa  µb = 0
B. µa  µb ≠ 0
C. µa  µb > 0
D. µa  µb < 0 122. Two hospital emergency rooms use different procedures for triage of their patients. We
want to test the claim that the mean waiting time of patients is the same for both hospitals.
The 40 randomly selected subjects from one hospital produce a mean of 18.3 minutes. The 50
randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume
a σa = 2.1 minutes and σb = 2.92 minutes. Calculate the test statistic for testing these
hypothesis.
A. 21.05
B. 24.97
C. 13.24
D. 18.49 123. Two hospital emergency rooms use different procedures for triage of their patients. We
want to test the claim that the mean waiting time of patients is the same for both hospitals.
The 40 randomly selected subjects from one hospital produce a mean of 18.3 minutes. The 50
randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume
a σa = 2.1 minutes and σb = 2.92 minutes. What do you conclude about the waiting time for
patients in the two hospitals testing at α = .001?
A. There is a significant difference in waiting times
B. There is no significant difference in waiting times 1851 Chapter 01  An Introduction to Business Statistics 124. A test of spelling ability is given to a random sample of 10 students before and after they
completed a spelling course. The mean score before the course was 119.60 and after the
course the mean score was 130.80. The standard deviation of the difference was 16.061.
Calculate the test statistic to test the claim.
A. 2.21
B. 0.697
C. 2.09
D. 6.97 125. A test of spelling ability is given to a random sample of 10 students before and after they
completed a spelling course. The mean score before the course was 119.60 and after the
course the mean score was 130.80. The standard deviation of the difference was 16.061. Test
the hypothesis at
= .05
A. Reject H0
B. Fail to reject H0 126. A test of spelling ability is given to a random sample of 10 students before and after they
completed a spelling course. The mean score before the course was 119.60 and after the
course the mean score was 130.80. The standard deviation of the difference was 16.061.
Calculate a 99% confidence interval.
A. (3.13 25.53)
B. (6.12 16.28)
C. (1.88 24.28)
D. (5.31 27.71) 127. A test of spelling ability is given to a random sample of 10 students before and after they
completed a spelling course. The mean score before the course was 119.60 and after the
course the mean score was 130.80. The standard deviation of the difference was 16.061. What
do you conclude at α = .01?
A. No evidence of a difference
B. Significant difference in the scores 1852 Chapter 01  An Introduction to Business Statistics 128. A coffee shop franchise owner is looking at two possible locations for a new shop. To
help make a decision he looks at the number of pedestrians that go by each of the two
locations in onehour segments. At location A, counts are taken for 35 onehour units and
with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the
second location (B), counts are taken for 50 one hour units with a mean number of pedestrians
of 347 and a sample standard deviation of 85. Assume the two populations variances are not
known but are equal. Calculate the pooled estimate of
.
A. 10362.42
B. 101.80
C. 22.40
D. 503.32 129. A coffee shop franchise owner is looking at two possible locations for a new shop. To
help make a decision he looks at the number of pedestrians that go by each of the two
locations in onehour segments. At location A, counts are taken for 35 onehour units and
with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the
second location (B), counts are taken for 50 one hour units with a mean number of pedestrians
of 347 and a sample standard deviation of 85. Assume the two populations variances are not
known but are equal. Calculate a 95% confidence interval for the difference in pedestrian
traffic at the two locations. (pooled estimate of
= 22.4)
A. (37.15 110.85)
B. (14.6 59.4)
C. (51.6 96.4)
D. (30.1 117.9) 130. A coffee shop franchise owner is looking at two possible locations for a new shop. To
help make a decision he looks at the number of pedestrians that go by each of the two
locations in onehour segments. At location A, counts are taken for 35 onehour units and
with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the
second location (B), counts are taken for 50 one hour units with a mean number of pedestrians
of 347 and a sample standard deviation of 85. Assume the two populations variances are not
known but are equal. Setup the null hypoth...
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 Winter '14
 Frequency, Frequency distribution, Histogram, AACSB, Statistical charts and diagrams

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