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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

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.

Drive-Through In-Shop

Successes 41 Successes 27

Observations 119 Observations 76

Proportion 0.345 Proportion 0.355

Confidence Level 90%

z-score -0.1429

p-value 0.444

What is the level of significance?

Null hypothesis: H0:pdrive-through

Alternative hypothesis: Ha:p drive-through

Should H0 be rejected or does H0 fail to be rejected?

What conclusion can be drawn from the data?

What are the population parameters?

evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers.

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