Assume that a sample is used to estimate a population mean u. Find the margin of error M.E. that corresponds to a sample of size 22 with a mean of 30.6 and a standard deviation of 7.9 at a confidence level of 99%. Report ME accurate to one decimal place because the sample statistics are presented with this accuracy. M.E. = Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places.
Assume that a sample is used to estimate a population mean u. Find the margin of error M.E. that corresponds to a sample of size 22 with a mean of 30.6 and a standard deviation of 7.9 at a confidence level of 99%. Report ME accurate to one decimal place because the sample statistics are presented with this accuracy. M.E. = Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![**Estimating the Margin of Error for a Population Mean**
To estimate the population mean \(\mu\), begin with a sample. Let's find the margin of error \(M.E.\) for a sample of size 22, with a mean of 30.6 and a standard deviation of 7.9, at a 99% confidence level.
### Steps to Calculate the Margin of Error
1. **Determine the Sample Statistics:**
- Sample size (n) = 22
- Sample mean (\(\overline{x}\)) = 30.6
- Sample standard deviation (s) = 7.9
2. **Identify the Confidence Level:**
- Confidence level = 99%
3. **Find the Critical Value:**
- For a 99% confidence level, find the corresponding t-value from the t-distribution table. Use degrees of freedom (df) = \( n - 1 = 22 - 1 = 21 \).
4. **Calculate the Margin of Error (M.E.):**
- Formula: \( M.E. = t \times \frac{s}{\sqrt{n}} \)
- Ensure that the margin of error is reported to one decimal place due to the accuracy of the sample statistics.
- Conduct calculations without preliminary rounding, but the critical value may be rounded to three decimal places if necessary.
### Please Enter the Calculated Margin of Error
\[ M.E. = \boxed{} \]
### Important Note:
The answer should reflect accurate representation considering the specific context provided. The critical value and standard deviation must consider formatting and precision as specified.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd120f3b3-582e-4ce3-bf67-95261f57ecc8%2F48a3e916-ffa7-4cdd-979a-7e90fe86cded%2Fg046y98_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Estimating the Margin of Error for a Population Mean**
To estimate the population mean \(\mu\), begin with a sample. Let's find the margin of error \(M.E.\) for a sample of size 22, with a mean of 30.6 and a standard deviation of 7.9, at a 99% confidence level.
### Steps to Calculate the Margin of Error
1. **Determine the Sample Statistics:**
- Sample size (n) = 22
- Sample mean (\(\overline{x}\)) = 30.6
- Sample standard deviation (s) = 7.9
2. **Identify the Confidence Level:**
- Confidence level = 99%
3. **Find the Critical Value:**
- For a 99% confidence level, find the corresponding t-value from the t-distribution table. Use degrees of freedom (df) = \( n - 1 = 22 - 1 = 21 \).
4. **Calculate the Margin of Error (M.E.):**
- Formula: \( M.E. = t \times \frac{s}{\sqrt{n}} \)
- Ensure that the margin of error is reported to one decimal place due to the accuracy of the sample statistics.
- Conduct calculations without preliminary rounding, but the critical value may be rounded to three decimal places if necessary.
### Please Enter the Calculated Margin of Error
\[ M.E. = \boxed{} \]
### Important Note:
The answer should reflect accurate representation considering the specific context provided. The critical value and standard deviation must consider formatting and precision as specified.
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