In a sample of 100 patients that did not receive the flu shot, the average recovery time after being infected with the flu was 7 days with a standard deviation of 4 days. What is a 95% confidence interval for the population average recovery time?

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Question: 2 In a sample of 100 patients that did not receive the flu shot, the average recovery time after being infected with the flu was 7 days with a standard deviation of 4 days. What is a 95% confidence interval for the population average recovery time?
**Question:**

In a sample of 100 patients that did not receive the flu shot, the average recovery time after being infected with the flu was 7 days with a standard deviation of 4 days. What is a 95% confidence interval for the population average recovery time?

**Options:**

- (6.97, 7.03)
- (5.97, 8.03)
- (6.21, 7.79)
- (6.22, 7.78)

**Explanation:**

This question involves calculating the 95% confidence interval for the population mean recovery time. We know the sample mean, sample size, and standard deviation, which allows us to use the formula for the confidence interval:

\[ \text{CI} = \bar{x} \pm z \left(\frac{\sigma}{\sqrt{n}}\right) \]

Where:
- \(\bar{x}\) is the sample mean (7 days)
- \(z\) is the z-score corresponding to the desired confidence level (approximately 1.96 for 95%)
- \(\sigma\) is the standard deviation (4 days)
- \(n\) is the sample size (100)

Substituting the values:

\[ \text{Margin of error} = 1.96 \times \left(\frac{4}{\sqrt{100}}\right) = 1.96 \times 0.4 = 0.784 \]

95% CI: \( 7 \pm 0.784 = (6.216, 7.784) \)

Thus, the correct option is (6.22, 7.78).
Transcribed Image Text:**Question:** In a sample of 100 patients that did not receive the flu shot, the average recovery time after being infected with the flu was 7 days with a standard deviation of 4 days. What is a 95% confidence interval for the population average recovery time? **Options:** - (6.97, 7.03) - (5.97, 8.03) - (6.21, 7.79) - (6.22, 7.78) **Explanation:** This question involves calculating the 95% confidence interval for the population mean recovery time. We know the sample mean, sample size, and standard deviation, which allows us to use the formula for the confidence interval: \[ \text{CI} = \bar{x} \pm z \left(\frac{\sigma}{\sqrt{n}}\right) \] Where: - \(\bar{x}\) is the sample mean (7 days) - \(z\) is the z-score corresponding to the desired confidence level (approximately 1.96 for 95%) - \(\sigma\) is the standard deviation (4 days) - \(n\) is the sample size (100) Substituting the values: \[ \text{Margin of error} = 1.96 \times \left(\frac{4}{\sqrt{100}}\right) = 1.96 \times 0.4 = 0.784 \] 95% CI: \( 7 \pm 0.784 = (6.216, 7.784) \) Thus, the correct option is (6.22, 7.78).
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