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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? Pick Drive-through Successes Observations Proportion Confidence level Z-score p-value In-shop 41 Successes 119 Observations Pick 0.345 Proportion 90% -0.1429 0.444 27 76 0.355 Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? What is the level of significance? Ex: 0.12 Null hypothesis: Ho: Pdrive-through Pick Pin-shop Alternative hypothesis: Ha Pdrive-through Pick Pin-shop evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers.

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 Observations Proportion Confidence level Z-score p-value In-shop 41 Successes 119 Observations Pick 0.345 Proportion 90% -0.1429 0.444 27 76 0.355 Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? What is the level of significance? Ex: 0.12 Null hypothesis: Ho: Pdrive-through Pick Pin-shop Alternative hypothesis: Ha Pdrive-through Pick Pin-shop evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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? Pick Drive-through Successes Observations Proportion Confidence level Z-score p-value In-shop 41 Successes 119 Observations 0.345 Proportion 90% -0.1429 0.444 27 76 0.355 What is the level of significance? Ex: 0.12 Null hypothesis: Ho: Pdrive-through Pick Pin-shop Alternative hypothesis: Ha: Pdrive-through Pick Pin-shop 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.
Transcribed Image Text: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 Observations Proportion Confidence level Z-score p-value In-shop 41 Successes 119 Observations 0.345 Proportion 90% -0.1429 0.444 27 76 0.355 What is the level of significance? Ex: 0.12 Null hypothesis: Ho: Pdrive-through Pick Pin-shop Alternative hypothesis: Ha: Pdrive-through Pick Pin-shop 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.
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