Water Temperature If the variance of the water temperature in a lake is 28°, how many days should the researcher select to measure the temperature to estimate the true mean within 3° with 90% confidence? Round the intermediate calculations to two decimal places and round up your final answer to the next whole number. The researcher needs a sample of at least days.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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**Water Temperature**  
If the variance of the water temperature in a lake is 28°, how many days should the researcher select to measure the temperature to estimate the true mean within 3° with 90% confidence? Round the intermediate calculations to two decimal places and round up your final answer to the next whole number.

[The researcher needs a sample of at least ___ days.]

**Explanation:**

- **Variance** is given as 28°.
- **Desired precision** (margin of error) is within 3°.
- **Confidence level** is 90%.

The formula typically used to find the sample size for estimating a mean is derived from the equation for the margin of error in a confidence interval. It may involve the Z-score for 90% confidence, which is approximately 1.645. Calculations would use the formula:

\[ n = \left( \frac{Z \cdot \sigma}{E} \right)^2 \]

Where:
- \( n \) is the sample size.
- \( Z \) is the Z-score for the confidence level.
- \( \sigma \) (standard deviation) is the square root of the variance.
- \( E \) is the desired margin of error.

Calculate \( n \) and round up to the next whole number.
Transcribed Image Text:**Water Temperature** If the variance of the water temperature in a lake is 28°, how many days should the researcher select to measure the temperature to estimate the true mean within 3° with 90% confidence? Round the intermediate calculations to two decimal places and round up your final answer to the next whole number. [The researcher needs a sample of at least ___ days.] **Explanation:** - **Variance** is given as 28°. - **Desired precision** (margin of error) is within 3°. - **Confidence level** is 90%. The formula typically used to find the sample size for estimating a mean is derived from the equation for the margin of error in a confidence interval. It may involve the Z-score for 90% confidence, which is approximately 1.645. Calculations would use the formula: \[ n = \left( \frac{Z \cdot \sigma}{E} \right)^2 \] Where: - \( n \) is the sample size. - \( Z \) is the Z-score for the confidence level. - \( \sigma \) (standard deviation) is the square root of the variance. - \( E \) is the desired margin of error. Calculate \( n \) and round up to the next whole number.
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