A 95% confidence interval for a population mean was reported to be 152 to 160. If standard deviation $σ = 15$, Then the sample size is: ($Z_{.025}=1.96$) |
40 60 54 50 |
54 |
The correct answer is Option (3) → 54 ** 95% confidence interval: $152$ to $160$ Mean $=156$ and margin of error: $E = 160 - 156 = 4$ Formula for confidence interval margin: $E = Z_{\alpha/2}\,\frac{\sigma}{\sqrt{n}}$ Substitute values: $4 = 1.96\,\frac{15}{\sqrt{n}}$ Solve for $n$: $\sqrt{n} = 1.96 \cdot \frac{15}{4}$ $\sqrt{n} = 1.96 \cdot 3.75 = 7.35$ $n = 7.35^{2} \approx 54.02$ Sample size ≈ 54 |