Step-by-step solution file
Suppose a population that is normally distributed has a mean of
Suppose a population that is normally distributed has a mean of 39.0 and a standard deviation of 19.5. If the sample size is 50, 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: Feb 21, 2020
This attachment is locked
We have a ready expert answer for this paper which you can use for in-depth understanding, research editing or paraphrasing. You can buy it or order for a fresh, original and plagiarism-free copy (Deadline assured. Flexible pricing. TurnItIn Report provided)
Need a similar solution fast, written anew from scratch? Place your own custom order
We have top-notch tutors who can help you with your essay at a reasonable cost and then you can simply use that essay as a template to build your own arguments. This we believe is a better way of understanding a problem and makes use of the efficiency of time of the student. New solution orders are original solutions and precise to your writing instruction requirements. Place a New Order using the button below.