Need help, please. I would like to know where does 1.96 come from? on the solution.
About the standard error, Mistake is there and I knew it. \(\sigma_M= \dfrac{\sigma}{\sqrt{n}}\)
In a standardized normal distribution, 95% of the data points lie within the range plus and minus 1.96 standard deviations of the population mean.
Got you. Thanks for that. Another question: What if we apply the formula to find the solution? I meant: \(\bar x= 48.8\)
\(P(47.8 \leq \bar x\leq 49.8)\) and use \(P\left(\dfrac{47.8- \mu}{\sigma}\leq \dfrac{\bar x-\mu}{\sigma}\leq\dfrac{49.8-\mu}{\sigma}\right)=0.95\) to find the interval?
The worked example has used the "standard length of 49.0 in" in the calculation of the confidence interval. However it is usual to use the sample mean, x-bar, in the calculation. Using the sample mean, my result for the 95% confidence interval for the population mean is (48.45, 49.15).
Join our real-time social learning platform and learn together with your friends!