For 95% confidence interval for a population mean reported to be 132 to 142 with standard deviation $σ = 17.85$ then the sample size used in this case, is: [Given that: $Z_{.0125} = 1.96$] |
36 49 64 81 |
49 |
The correct answer is Option (2) → 49 ** 95% confidence interval: $132$ to $142$ Mean estimate = midpoint = $\frac{132+142}{2}=137$ Margin of error (half–width): $E=\frac{142-132}{2}=5$ Formula for confidence interval margin: $E=Z\,\frac{\sigma}{\sqrt{n}}$ Substitute values: $5=1.96\,\frac{17.85}{\sqrt{n}}$ $\sqrt{n}=1.96\,\frac{17.85}{5}$ $\sqrt{n}=1.96\times 3.57=6.9972$ $n=(6.9972)^{2}\approx 49$ Sample size = $49$ |