You measure 50 textbooks' weights, and find they have a mean weight of 43 ounces. Assume the population standard deviation is 11.3 ounces. Based on this, construct a 99% confidence interval for the true population mean textbook weight. Give your answers as decimals, to two places

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**Confidence Interval Calculation for Textbook Weights**

Given Data:
- Number of textbooks (n): 50
- Sample mean (x̄): 43 ounces
- Population standard deviation (σ): 11.3 ounces

Task: Construct a 99% confidence interval for the true population mean (μ) textbook weight.

**Steps to Calculate the Confidence Interval:**

1. **Identify the Z-score for 99% Confidence Level**:
   For a 99% confidence level, the Z-score (critical value) is approximately 2.576. This can be found using Z-tables or standard normal distribution calculators.

2. **Formula to Calculate the Confidence Interval**:
   The confidence interval is given by:
   \[
   CI = \left( x̄ - Z \left( \frac{σ}{\sqrt{n}} \right), \, x̄ + Z \left( \frac{σ}{\sqrt{n}} \right) \right)
   \]
   where,
   - \( x̄ \) is the sample mean,
   - Z is the Z-score,
   - \( σ \) is the population standard deviation,
   - \( n \) is the sample size.

3. **Calculate the Margin of Error**:
   \[
   MOE = Z \left( \frac{σ}{\sqrt{n}} \right) = 2.576 \left( \frac{11.3}{\sqrt{50}} \right)
   \]

4. **Compute the Interval**:
   \[
   CI = \left( 43 - MOE, \, 43 + MOE \right)
   \]

**Final Step for Calculation**:

Calculate the Margin of Error (MOE):
\[
MOE = 2.576 \times \left( \frac{11.3}{\sqrt{50}} \right) = 2.576 \times 1.598 = 4.117
\]

So, the confidence interval is:
\[
\left( 43 - 4.12, \, 43 + 4.12 \right) = (38.88, 47.12)
\]

**Conclusion**:
Therefore, the 99% confidence interval for the true population mean textbook weight is:

\[ 38.88 < μ < 47.12 \]

**Response Fields**:
Ensure
Transcribed Image Text:**Confidence Interval Calculation for Textbook Weights** Given Data: - Number of textbooks (n): 50 - Sample mean (x̄): 43 ounces - Population standard deviation (σ): 11.3 ounces Task: Construct a 99% confidence interval for the true population mean (μ) textbook weight. **Steps to Calculate the Confidence Interval:** 1. **Identify the Z-score for 99% Confidence Level**: For a 99% confidence level, the Z-score (critical value) is approximately 2.576. This can be found using Z-tables or standard normal distribution calculators. 2. **Formula to Calculate the Confidence Interval**: The confidence interval is given by: \[ CI = \left( x̄ - Z \left( \frac{σ}{\sqrt{n}} \right), \, x̄ + Z \left( \frac{σ}{\sqrt{n}} \right) \right) \] where, - \( x̄ \) is the sample mean, - Z is the Z-score, - \( σ \) is the population standard deviation, - \( n \) is the sample size. 3. **Calculate the Margin of Error**: \[ MOE = Z \left( \frac{σ}{\sqrt{n}} \right) = 2.576 \left( \frac{11.3}{\sqrt{50}} \right) \] 4. **Compute the Interval**: \[ CI = \left( 43 - MOE, \, 43 + MOE \right) \] **Final Step for Calculation**: Calculate the Margin of Error (MOE): \[ MOE = 2.576 \times \left( \frac{11.3}{\sqrt{50}} \right) = 2.576 \times 1.598 = 4.117 \] So, the confidence interval is: \[ \left( 43 - 4.12, \, 43 + 4.12 \right) = (38.88, 47.12) \] **Conclusion**: Therefore, the 99% confidence interval for the true population mean textbook weight is: \[ 38.88 < μ < 47.12 \] **Response Fields**: Ensure
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