sample of size 1045 with a mean of 33.5 and a standard deviation of 13.5 ri-linear inequality accurate to one decimal place (because the sample sta
sample of size 1045 with a mean of 33.5 and a standard deviation of 13.5 ri-linear inequality accurate to one decimal place (because the sample sta
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Assume that a sample is used to estimate a population
![Assume that a sample is used to estimate a population mean \( \mu \). Find the 99.9% confidence interval for a sample of size 1045 with a mean of 33.5 and a standard deviation of 13.5. Enter your answer as a tri-linear inequality accurate to one decimal place (because the sample statistics are reported accurate to one decimal place).
\[ \text{[ ]} < \mu < \text{[ ]} \]
Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd86adec4-243e-4e43-9d83-628f0cf57e63%2F4dce0f2f-9ae3-457a-8795-b5d8a77abd0e%2Ffuzymli_processed.png&w=3840&q=75)
Transcribed Image Text:Assume that a sample is used to estimate a population mean \( \mu \). Find the 99.9% confidence interval for a sample of size 1045 with a mean of 33.5 and a standard deviation of 13.5. Enter your answer as a tri-linear inequality accurate to one decimal place (because the sample statistics are reported accurate to one decimal place).
\[ \text{[ ]} < \mu < \text{[ ]} \]
Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places.
Expert Solution
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Step 1
As the population standard deviation is not known, we will use t-distribution.
Given:
.
Confidence level is= 99.9%
The number of degrees of freedom will be
The significance level will be,
.
Based on the provided information, the critical t-value for and degrees of freedom is 3.29987, i.e., .
The 99.9% confidence can be calculated as:
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