How Is the Sampling Distribution of a Sample Mean Determined?

  • Context:
  • Thread starter Thread starter CGuthrie91
  • Start date Start date
  • Tags Tags
    Mean Sampling
Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
1 reply · 2K views
CGuthrie91
Messages
9
Reaction score
0
1. On this question I really have no idea how they got these answers so I just need someone to walk me through it step by step please

View attachment 42052. Part B on this question I don't know how to get the correct answer either

View attachment 4206
 

Attachments

  • Statistic question 1.PNG
    Statistic question 1.PNG
    6.5 KB · Views: 119
  • Statistic question 2.PNG
    Statistic question 2.PNG
    8.7 KB · Views: 113
Physics news on Phys.org
In your first problem, you're talking about the samping distribution of the mean. If the standard deviation of the population is known, you can use the normal distribution; that is,
$$\bar{x}\sim N\left(\mu,\frac{\sigma}{\sqrt{n}}\right),$$
where $\mu$ is as given, $\sigma$ is the population standard deviation (also given in this case), and $n$ is the sample size. As a side note: in most real-world applications, you don't know $\mu$ or $\sigma$. Not knowing the mean isn't such a big deal - just approximate with $\bar{x}$. But if you don't know $\sigma$, then you have to use the student-$t$ distributions instead of the normal distribution.

So, now that you know the sampling distribution, can you work out the rest of the problem?