Barbara Dwyer, the manager at Lux Hotel, makes every effort to ensure that customers attempting to make phone reservations do not have to wait too long to speak with a reservation specialist. Since the hotel accepts phone reservations 24 hours a day, Barbara is especially interested in maintaining consistency in service. Barbara wants to determine if the variance of wait time in the early morning shift (12:00 am – 6:00 am) differs from that in the late morning shift (6:00 am – 12:00 pm). She uses independently drawn samples of wait time for phone reservations for both shifts for the analysis; a portion of the data is shown in the accompanying table. Assume that wait times are normally distributed.
Early | Late | ||
38 | 19 | 111 | 113 |
21 | 50 | 111 | 85 |
41 | 33 | 115 | 119 |
63 | 54 | 118 | 132 |
46 | 42 | 119 | 133 |
48 | 43 | 120 | 121 |
57 | 56 | 121 | 115 |
57 | 63 | 125 | 130 |
80 | 46 | 144 | 126 |
63 | 46 | 140 | 124 |
65 | 51 | 110 | 132 |
57 | 42 | 118 | 111 |
a. Select the hypotheses to test if the variance of wait time in the early morning shift differs from that in the late morning shift.
H0: σ12 / σ22 = 1, HA: σ12 / σ22 ≠ 1
H0: σ12 / σ22 ≤ 1, HA: σ12 / σ22 > 1
H0: σ12 / σ22 ≥ 1, HA: σ12 / σ22 < 1
b-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
b-2. Find the p-value.
p-value 0.10
p-value < 0.01
c. At the 10% significance level, what is your
conclusion?
Do not reject H0, since the p-value is less than α.
Do not reject H0, since the p-value is more than α.
Reject H0, since the p-value is more than α.
Reject H0, since the p-value is less than α.
d. Interpret the results at αα =
0.10.
The variance of wait time in the early morning shift is greater than that in the late morning shift.
The variance of wait time in the early morning shift is not greater than that in the late morning shift.
The variance of wait time in the early morning shift differs from that in the late morning shift.
The variance of wait time in the early morning shift does not differ from that in the late morning shift.
a) H0: σ12 / σ22 = 1, HA: σ12 / σ22 ≠ 1
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b-2) P-value =2F.DIST.RT(1.329,23,23) = 0.50060
P-value > 0.10
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c) Do not reject H0, since the p-value is more than α.
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d) The variance of wait time in the early morning shift does not differ from that in the late morning shift.
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