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Answer: [-3.467%, 11.467%]
## Explanation To calculate the 95% confidence interval for the mean monthly return when the population variance is unknown, we use the t-distribution. **Given:** - Sample mean (x̄) = 4% - Sample standard deviation (s) = 20% - Sample size (n) = 30 - Standard error (SE) = 20%/√30 = 3.65% - Degrees of freedom = n - 1 = 29 **Formula for confidence interval:** \[ \text{CI} = \bar{x} \pm t_{\alpha/2, df} \times SE \] For a 95% confidence interval: - α = 0.05 - α/2 = 0.025 - We need t-value for 29 degrees of freedom at 2.5% significance level From the t-table provided: t₂₉,₂.₅% = 2.045 **Calculation:** \[ \text{Margin of error} = 2.045 \times 3.65\% = 7.467\% \] \[ \text{Lower bound} = 4\% - 7.467\% = -3.467\% \] \[ \text{Upper bound} = 4\% + 7.467\% = 11.467\% \] Therefore, the 95% confidence interval is **[-3.467%, 11.467%]**, which corresponds to option A. **Why not other options:** - Option B uses the wrong t-value or calculation - Option C uses t-value for 30 degrees of freedom (2.042) instead of 29 - Option D has inconsistent bounds
Author: LeetQuiz .
For a sample of the past 30 monthly stock returns for McCreary, Inc., the mean return is 4% and the sample standard deviation is 20%. Since the population variance is unknown, the standard error of the sample is estimated to be: . What is the 95% confidence interval for the mean monthly return?
A
[-3.467%, 11.467%]
B
[-2.0%, 10.0%]
C
[-3.453%, 11.453%]
D
[-3.467%, 10.0%]
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