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O a. Yes, conducting a hypothesis test using the t-distribution would be appropriate. O b. No, conducting a hypothesis test using the t-distribution would not be appropriate because np and n(1 are less than 10. O c. No, conducting a hypothesis test using the t-distribution would not be appropriate because the data are extremely skewed and outliers are present. O d. No, conducting a hypothesis test using the t-distribution would not be appropriate since we do not know the population standard deviation.

O a. Yes, conducting a hypothesis test using the t-distribution would be appropriate. O b. No, conducting a hypothesis test using the t-distribution would not be appropriate because np and n(1 are less than 10. O c. No, conducting a hypothesis test using the t-distribution would not be appropriate because the data are extremely skewed and outliers are present. O d. No, conducting a hypothesis test using the t-distribution would not be appropriate since we do not know the population standard deviation.

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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An advertiser wants to estimate the average wait time that a customer has in the drive-through for a particular fast food chain. The advertiser wants to run a campaign where the fast food chain claims to have shorter wait times than any other restaurant. The fast food chain's competitor has an average wait time of 240 seconds (4 minutes). The advertiser enlists a statistician to find evidence that the fast food chain has a shorter average wait time than the competitor. A random sample of 24 customers were asked to record the wait time that it took for them to receive their food. Would conducting a hypothesis test using the t-distribution be appropriate in this situation? Distribution of Wait Times for a Random Sample of 24 Customers Proportion of Customers L. 0.3 0.2 0.1 200 400 600 800 Wait Time (in seconds)
Transcribed Image Text:An advertiser wants to estimate the average wait time that a customer has in the drive-through for a particular fast food chain. The advertiser wants to run a campaign where the fast food chain claims to have shorter wait times than any other restaurant. The fast food chain's competitor has an average wait time of 240 seconds (4 minutes). The advertiser enlists a statistician to find evidence that the fast food chain has a shorter average wait time than the competitor. A random sample of 24 customers were asked to record the wait time that it took for them to receive their food. Would conducting a hypothesis test using the t-distribution be appropriate in this situation? Distribution of Wait Times for a Random Sample of 24 Customers Proportion of Customers L. 0.3 0.2 0.1 200 400 600 800 Wait Time (in seconds)
Distribution of Wait Times for a Random Sample of 24 Customers 200 400 Wait Time (in seconds) 600 800 O a. Yes, conducting a hypothesis test using the t-distribution would be appropriate. O b. No, conducting a hypothesis test using the t-distribution would not be appropriate because np and n(1 - p) are less than 10. O c. No, conducting a hypothesis test using the t-distribution would not be appropriate because the data are extremely skewed and outliers are present. O d. No, conducting a hypothesis test using the t-distribution would not be appropriate since we do not know the population standard deviation.
Transcribed Image Text:Distribution of Wait Times for a Random Sample of 24 Customers 200 400 Wait Time (in seconds) 600 800 O a. Yes, conducting a hypothesis test using the t-distribution would be appropriate. O b. No, conducting a hypothesis test using the t-distribution would not be appropriate because np and n(1 - p) are less than 10. O c. No, conducting a hypothesis test using the t-distribution would not be appropriate because the data are extremely skewed and outliers are present. O d. No, conducting a hypothesis test using the t-distribution would not be appropriate since we do not know the population standard deviation.
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