Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, μ, spent by customers at the supermarkets has been reported to be 38 minutes, but executives have good reason to believe that u is different from 38 minutes. The executives hire a statistical consultant and ask her to perform a statistical test. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 34 minutes and the standard deviation of the times to be 12 minutes. Based on this information, complete the parts below. (a) What are the null hypothesis Ho and the alternative hypothesis H, that should be used for the test? H₁ μ = 38 1 H₁ μ< 38 S (b) Suppose that the consultant decides to reject the hull hypothesis. What sort of error might she be making? Type I (c) Suppose the true mean shopping time spent by customers at the supermarkets is 38 minutes. Fill in the blanks to describe a Type I error. A Type I error would be failing to reject the hypothesis that μ is less than when, in fact, μ is equal to 38 38 Y μ 0<0 020 X x OSD >D 0-0 0-0 Ś
Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, μ, spent by customers at the supermarkets has been reported to be 38 minutes, but executives have good reason to believe that u is different from 38 minutes. The executives hire a statistical consultant and ask her to perform a statistical test. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 34 minutes and the standard deviation of the times to be 12 minutes. Based on this information, complete the parts below. (a) What are the null hypothesis Ho and the alternative hypothesis H, that should be used for the test? H₁ μ = 38 1 H₁ μ< 38 S (b) Suppose that the consultant decides to reject the hull hypothesis. What sort of error might she be making? Type I (c) Suppose the true mean shopping time spent by customers at the supermarkets is 38 minutes. Fill in the blanks to describe a Type I error. A Type I error would be failing to reject the hypothesis that μ is less than when, in fact, μ is equal to 38 38 Y μ 0<0 020 X x OSD >D 0-0 0-0 Ś
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![**Understanding Statistical Testing in Supermarket Customer Studies**
**Context:**
Executives of a supermarket chain are evaluating the duration of shopping trips, which is typically reported to be 38 minutes. They suspect this time might differ, prompting a statistical analysis by a consultant, who collects a random sample. The consultant identifies that the mean of the sample is 34 minutes, with a standard deviation of 12 minutes.
**Hypothesis Testing:**
(a) **Formulating Hypotheses:**
- **Null Hypothesis (H₀):** μ = 38
- **Alternative Hypothesis (H₁):** μ < 38
(b) **Type of Error When Rejecting Null Hypothesis:**
If the consultant rejects the null hypothesis, she might make a **Type I error**.
(c) **Understanding Type I Error:**
Should the true mean shopping time be 38 minutes, a Type I error would involve:
- Failing to reject the hypothesis that μ is less than 38 when, in fact, μ is equal to 38.
**Diagram:**
The image includes an interface where responses are input directly on corresponding fields, with adjustments made via dropdown menus.
This exercise emphasizes the importance of hypothesis formulation and error types in statistical methods, vital for accurate business insights.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fab310076-c445-4f02-aa72-05faca788dac%2F29892875-bf28-4b09-b94a-67798a6e82da%2F1gk3gaq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Understanding Statistical Testing in Supermarket Customer Studies**
**Context:**
Executives of a supermarket chain are evaluating the duration of shopping trips, which is typically reported to be 38 minutes. They suspect this time might differ, prompting a statistical analysis by a consultant, who collects a random sample. The consultant identifies that the mean of the sample is 34 minutes, with a standard deviation of 12 minutes.
**Hypothesis Testing:**
(a) **Formulating Hypotheses:**
- **Null Hypothesis (H₀):** μ = 38
- **Alternative Hypothesis (H₁):** μ < 38
(b) **Type of Error When Rejecting Null Hypothesis:**
If the consultant rejects the null hypothesis, she might make a **Type I error**.
(c) **Understanding Type I Error:**
Should the true mean shopping time be 38 minutes, a Type I error would involve:
- Failing to reject the hypothesis that μ is less than 38 when, in fact, μ is equal to 38.
**Diagram:**
The image includes an interface where responses are input directly on corresponding fields, with adjustments made via dropdown menus.
This exercise emphasizes the importance of hypothesis formulation and error types in statistical methods, vital for accurate business insights.
Expert Solution
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Step 1
a)
Suppose μ is the population mean shopping time spent by customers at the supermarket.
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