Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of dinners decreased while the free dessert offer was in effect? Use the a = 0.05 level of significance and the P-value method with the TI-84 Plus calculator.

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Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of dinners decreased while the free dessert offer was in effect? Use the a = 0.05 level of significance and the P-value method with the TI-84 Plus calculator.
175
138
160 121
181
108
111
120
143 189
161
122
Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are
satisfied? Explain.
100
120
140
160
180
200
220
240
The boxplot shows that there (Choose one)
outliers.
are
The boxplot shows that there are no
evidence of strong skewness.
We (Choose one)
assume that the population is approximately normal.
It (Choose one) v reasonable to assume that the conditions are satisfled.
The boxplot shows that there (Choose one) outliers.
The boxplot shows that there (Choose one)
evidence of strong skewness.
We (Choose one)
assume that the population is approximately normal.
can
It dcannot
Jeasonable to assume that the conditions are satisfied.
The boxplot shows that there (Choose one) outliers.
The boxplot shows that there (Choose one) evidence of strong skewness.
We (Choose one) assume that the population is approximately normal.
It (Choose one) reasonable to assume that the conditions are satisfled.
is
is not
The boxplot shows that there (Choose one) outliers.
The boxplot shows that there (Choose one) evidence of strong skewness.
We (Choose one) assume is no
pn is approximately normal.
It (Choose one) reasonable to assume that the conditions are satisfied.
Transcribed Image Text:175 138 160 121 181 108 111 120 143 189 161 122 Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? Explain. 100 120 140 160 180 200 220 240 The boxplot shows that there (Choose one) outliers. are The boxplot shows that there are no evidence of strong skewness. We (Choose one) assume that the population is approximately normal. It (Choose one) v reasonable to assume that the conditions are satisfled. The boxplot shows that there (Choose one) outliers. The boxplot shows that there (Choose one) evidence of strong skewness. We (Choose one) assume that the population is approximately normal. can It dcannot Jeasonable to assume that the conditions are satisfied. The boxplot shows that there (Choose one) outliers. The boxplot shows that there (Choose one) evidence of strong skewness. We (Choose one) assume that the population is approximately normal. It (Choose one) reasonable to assume that the conditions are satisfled. is is not The boxplot shows that there (Choose one) outliers. The boxplot shows that there (Choose one) evidence of strong skewness. We (Choose one) assume is no pn is approximately normal. It (Choose one) reasonable to assume that the conditions are satisfied.
Part 1 of 4
State the appropriate null and alternate hypotheses.
Ho
This hypothesis test is a (Choose one) v test.
left-tailed
right-talled
two-tailed
Part 2 of 4
Compute the P-value. Round the P-value to at least four decimal places.
P-value =
Part 3 of 4
Determine whether to reject H
(Choose one)
the null hypothesis H.
Reject
Do not reject
Transcribed Image Text:Part 1 of 4 State the appropriate null and alternate hypotheses. Ho This hypothesis test is a (Choose one) v test. left-tailed right-talled two-tailed Part 2 of 4 Compute the P-value. Round the P-value to at least four decimal places. P-value = Part 3 of 4 Determine whether to reject H (Choose one) the null hypothesis H. Reject Do not reject
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