simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 115, and the sample standard deviation, s, is found to be Construct a 96% confidence interval about μ if the sample size, n, is 27. ) Construct a 96% confidence interval about u if the sample size, n, is 17. Construct a 95% confidence interval about μ if the sample size, n, is 27. Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed? Click the icon to view the table of areas under the t-distribution. Construct a 96% confidence interval about μ if the sample size, n, is 27. wer bound:: Upper bound: se ascending order. Round to one decimal place as needed.)
simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 115, and the sample standard deviation, s, is found to be Construct a 96% confidence interval about μ if the sample size, n, is 27. ) Construct a 96% confidence interval about u if the sample size, n, is 17. Construct a 95% confidence interval about μ if the sample size, n, is 27. Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed? Click the icon to view the table of areas under the t-distribution. Construct a 96% confidence interval about μ if the sample size, n, is 27. wer bound:: Upper bound: se ascending order. Round to one decimal place as needed.)
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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![### Confidence Interval Calculation for Normally Distributed Population
A simple random sample of size \( n \) is drawn from a population that is normally distributed. The sample mean, \( \bar{x} \), is found to be 115, and the sample standard deviation, \( s \), is 10.
#### Tasks:
**(a)** Construct a 96% confidence interval about the population mean \( \mu \) if the sample size, \( n \), is 27.
**(b)** Construct a 96% confidence interval about \( \mu \) if the sample size, \( n \), is 17.
**(c)** Construct a 95% confidence interval about \( \mu \) if the sample size, \( n \), is 27.
**(d)** Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
*Click the icon to view the table of areas under the t-distribution.*
---
#### Calculation Box
**(a)** Construct a 96% confidence interval about \( \mu \) if the sample size, \( n \), is 27.
- Lower bound: [Input Box]
- Upper bound: [Input Box]
*(Use ascending order. Round to one decimal place as needed.)*](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9bd86c5f-0fdb-4e0d-b8b6-dda4f5d2fa98%2F3f4804d3-c54c-49ee-ae18-6476cc809032%2Fj2oa0gi_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Confidence Interval Calculation for Normally Distributed Population
A simple random sample of size \( n \) is drawn from a population that is normally distributed. The sample mean, \( \bar{x} \), is found to be 115, and the sample standard deviation, \( s \), is 10.
#### Tasks:
**(a)** Construct a 96% confidence interval about the population mean \( \mu \) if the sample size, \( n \), is 27.
**(b)** Construct a 96% confidence interval about \( \mu \) if the sample size, \( n \), is 17.
**(c)** Construct a 95% confidence interval about \( \mu \) if the sample size, \( n \), is 27.
**(d)** Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
*Click the icon to view the table of areas under the t-distribution.*
---
#### Calculation Box
**(a)** Construct a 96% confidence interval about \( \mu \) if the sample size, \( n \), is 27.
- Lower bound: [Input Box]
- Upper bound: [Input Box]
*(Use ascending order. Round to one decimal place as needed.)*
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