Solution
Question 1a:
- The population mean and sample mean are approximately the same in theory. The only difference is that the distribution of the sample will be wider due to a larger uncertainty caused by having less data to work with.
- Thus, we have:
![\begin{gathered} \text{ Sample Mean:} \\ 250 \\ \\ \text{ Standard Deviation:} \\ (\sigma)/(√(n))=(49)/(√(49))=(49)/(7)=7 \\ \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/gxgpg29ucqywzsuoylku29h1f40ffo3v2o.png)
Question 1b:
- The assumption is that the distribution is a normal distribution (OPTION C)
Question 1c:
Yes, the sampling distribution of the sample mean is always normal (OPTION B). This is in accordance with the central limit theorem.