Can anyone do this question in 10 mins?
Suppose a population that is normally distributed has a mean of 32.0 and a standard deviation of 8.0. If the sample size is 56, what does the central limit theory say about the sampling distribution of the mean?
Select one:a. We can always assume the sampling distribution of the mean is normally distributed if the population data is normally distributed.b. The sample size is too large to assume that the sampling distribution of the mean is normally distributed.c. The sample size is not large enough to assume that the sampling distribution of the mean is normally distributed.d. The central limit theory says that real world data is close enough to being normally distributed to assume that the sampling distribution is also normally distributed.e. The sampling distribution of the mean is normally distributed since the magnitude of the standard deviation is less than the mean.f. There is not enough information to answer this question.
This question was answered on: Sep 13, 2020Buy this answer for only: $15
This attachment is locked
Pay using PayPal (No PayPal account Required) or your credit card . All your purchases are securely protected by .
About this QuestionSTATUS
Sep 13, 2020EXPERT
GET INSTANT HELP/h4>
We have top-notch tutors who can do your essay/homework for you at a reasonable cost and then you can simply use that essay as a template to build your own arguments.
You can also use these solutions:
- As a reference for in-depth understanding of the subject.
- As a source of ideas / reasoning for your own research (if properly referenced)
- For editing and paraphrasing (check your institution's definition of plagiarism and recommended paraphrase).
NEW ASSIGNMENT HELP?
Order New Solution. Quick Turnaround
Click on the button below in order to Order for a New, Original and High-Quality Essay Solutions. New orders are original solutions and precise to your writing instruction requirements. Place a New Order using the button below.
WE GUARANTEE, THAT YOUR PAPER WILL BE WRITTEN FROM SCRATCH AND WITHIN A DEADLINE.