The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Pick Drive-through Successes 27 Successes 41 What is the level of significance? Ex: 0.12 Observations 76 Observations 119 p-hat_1 0.355 p-hat_2 0.345 What is the null hypothesis Ho? Pick V Confidence Level 90% V z-score -0.1429 What is the alternative hypothesis Ha? Pick p-value 0.444 Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. In-shop

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J
In-shop
othesis test for the difference between two population proportions
02562 2600368.qx3zqy7
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The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers
who come into the shop. The manager randomly samples both populations and calculates the proportion of
customers in each that buy three or more items. The results of the data collected are shown below.
What are the population parameters?
Y
Pick
Drive-through
Successes
27 Successes
What is the level of significance? Ex: 0.12
Observations
76 Observations
41
119
0.345
p-hat_1
0.355 p-hat_2
What is the null hypothesis Ho?
Pick
Confidence Level
0.1429
What is the alternative hypothesis Ha? Pick
p-value
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
Pick
evidence exists to support the claim that drive-through customers buy fewer items than in-shop
customers.
2
p
W
Transcribed Image Text:J In-shop othesis test for the difference between two population proportions 02562 2600368.qx3zqy7 Jump to level 1 The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Y Pick Drive-through Successes 27 Successes What is the level of significance? Ex: 0.12 Observations 76 Observations 41 119 0.345 p-hat_1 0.355 p-hat_2 What is the null hypothesis Ho? Pick Confidence Level 0.1429 What is the alternative hypothesis Ha? Pick p-value Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. 2 p W
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