Constructing a Confidence Interval for a Population Mean You measure 32 textbooks' weights, and find they have a mean weight of 52 ounces. Assume the population standard deviation is 10.7 ounces. Based on this, construct a 95% confidence interval for the true population mean textbook weight. Give your answers as decimals, rounded to two decimal places.

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**Constructing a Confidence Interval for a Population Mean**

You measure 32 textbooks' weights and find they have a mean weight of 52 ounces. Assume the population standard deviation is 10.7 ounces. Based on this, construct a 95% confidence interval for the true population mean textbook weight.

Give your answers as decimals, rounded to two decimal places.

**[Input box]** < µ < **[Input box]**

---

To solve this, use the formula for the confidence interval for a population mean when the population standard deviation is known:

\[
\text{Confidence Interval} = \bar{x} \pm Z \left(\frac{\sigma}{\sqrt{n}}\right)
\]

Where:
- \(\bar{x}\) = sample mean = 52 ounces
- \(Z\) = Z-score corresponding to the desired confidence level (for 95%, \(Z \approx 1.96\))
- \(\sigma\) = population standard deviation = 10.7 ounces
- \(n\) = sample size = 32

Calculate the margin of error and then determine the interval.
Transcribed Image Text:**Constructing a Confidence Interval for a Population Mean** You measure 32 textbooks' weights and find they have a mean weight of 52 ounces. Assume the population standard deviation is 10.7 ounces. Based on this, construct a 95% confidence interval for the true population mean textbook weight. Give your answers as decimals, rounded to two decimal places. **[Input box]** < µ < **[Input box]** --- To solve this, use the formula for the confidence interval for a population mean when the population standard deviation is known: \[ \text{Confidence Interval} = \bar{x} \pm Z \left(\frac{\sigma}{\sqrt{n}}\right) \] Where: - \(\bar{x}\) = sample mean = 52 ounces - \(Z\) = Z-score corresponding to the desired confidence level (for 95%, \(Z \approx 1.96\)) - \(\sigma\) = population standard deviation = 10.7 ounces - \(n\) = sample size = 32 Calculate the margin of error and then determine the interval.
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