From a large number of actuarial exam scores, a random sample of 250 scores is selected, and it is found that 182 of these 250 are passing scores. Based on this sample, find a 95% confidence interval for the proportion of all scores that are passing. Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a list of formulas.) Lower limit: U ? Upper limit: 0

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### Confidence Interval for Proportion of Passing Scores

From a large number of actuarial exam scores, a random sample of 250 scores is selected, and it is found that 182 of these 250 are passing scores. Based on this sample, find a 95% confidence interval for the proportion of all scores that are passing. Then find the lower limit and upper limit of the 95% confidence interval.

Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a [list of formulas](#).

- **Lower limit:** [input box]
- **Upper limit:** [input box]

### Instructions:
1. Calculate the sample proportion (p̂) of passing scores.
2. Determine the standard error (SE) for the proportion.
3. Use the Z-value for the 95% confidence interval.
4. Calculate the lower limit and upper limit for the confidence interval.

### Example Calculation:
1. Sample proportion (p̂) = Number of passing scores / Total number of scores = 182 / 250.
2. Standard Error (SE) = sqrt[(p̂(1 - p̂)) / n], where n is the sample size.
3. Apply the 95% confidence level (Z-value ≈ 1.96).
4. Compute the confidence interval as follows:
   - Lower limit = p̂ - (Z-value * SE)
   - Upper limit = p̂ + (Z-value * SE)

Enter your final answers rounded to two decimal places. Use the provided input boxes to record your results.
Transcribed Image Text:### Confidence Interval for Proportion of Passing Scores From a large number of actuarial exam scores, a random sample of 250 scores is selected, and it is found that 182 of these 250 are passing scores. Based on this sample, find a 95% confidence interval for the proportion of all scores that are passing. Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a [list of formulas](#). - **Lower limit:** [input box] - **Upper limit:** [input box] ### Instructions: 1. Calculate the sample proportion (p̂) of passing scores. 2. Determine the standard error (SE) for the proportion. 3. Use the Z-value for the 95% confidence interval. 4. Calculate the lower limit and upper limit for the confidence interval. ### Example Calculation: 1. Sample proportion (p̂) = Number of passing scores / Total number of scores = 182 / 250. 2. Standard Error (SE) = sqrt[(p̂(1 - p̂)) / n], where n is the sample size. 3. Apply the 95% confidence level (Z-value ≈ 1.96). 4. Compute the confidence interval as follows: - Lower limit = p̂ - (Z-value * SE) - Upper limit = p̂ + (Z-value * SE) Enter your final answers rounded to two decimal places. Use the provided input boxes to record your results.
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