Suppose x has a distribution with a mean of 70 and a standard deviation of 20. Random samples of size n = 64 are drawn....
Suppose x has a distribution with a mean of 40 and a standard deviation of 20. Random samples of size n = 64 are drawn. (a) Describe the x bar distribution. x bar has a normal distribution. x bar has a geometric distribution. x bar has an approximately normal distribution. x bar has a Poisson distribution. x bar has an unknown distribution. x bar has a binomial distribution. Compute the mean and standard deviation of the distribution. (For each answer,...
Suppose x has a distribution with a mean of 90 and a standard deviation of 3. Random samples of size n = 36 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution. x has ---Select--- a normal a geometric an unknown a Poisson a binomial an approximately normal distribution with mean μx = and standard deviation σx = . (b) Find the z value corresponding to x = 91. z = (c) Find P(x...
Suppose x has a distribution with a mean of 50 and a standard deviation of 27. Random samples of size n = 36 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution. x has distribution with mean μx = and standard deviation σx = . (b) Find the z value corresponding to x = 41. z = (c) Find P(x < 41). (Round your answer to four decimal places.) P(x < 41)...
Suppose x has a distribution with a mean of 90 and a standard deviation of 21. Random samples of size n = 36 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution has ---Select- distribution with meanz - and standard deviation o, - (b) Find the z value corresponding to x = 83. ZE (c) Find P(x < 83), (Round your answer to four decimal places.) P(x < 83) = (d) Would...
6. Basic Computation: Central Limit Theorem Suppose x has a distribution with a mean of 20 and a standard deviation of 3. Random samples of size n 36 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution. (b) Find the z value corresponding to x = 19. (c) Find P(x < 19). (d) Interpretation Would it be unusual for a random sample of size 36 from the x distribution to have a...
For random samples of size n = 16 selected from a normal distribution with a mean of 75 and a standard deviation of 20, find each of the following: a. The range of sample means that defines the middle 95% of the distribution of sample means b. The range of sample means that defines the middle 99% of the distribution of sample means
Suppose x has a distribution with a mean of 70 and a standard deviation of 27. Random samples of size n = 36 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution. x has distribution ___________ with mean μx = _______ and standard deviation σx = __________. (b) Find the z value corresponding to x = 79. z = (c) Find P(x < 79). (Round your answer to four decimal places.) P(x...
= X- 4) A normal distribution has mean u = 65 and a population standard deviation o= 20. Find and interpret the z - Score for x = 64. u a) The z - score for x = 64 is 64-65 b) Interpret these results. (Explain): 5) A sample size 28 will be drawn from a population with mean 120 and standard deviation 21. a) Is it appropriate to use the normal distribution to find probabilities for x? yes or...
If the standard deviation of the mean for the sampling distribution of random samples of size 49 from a large or Infinite population is become if the standard deviation is to be reduced to 5257 how large must the sample size Gradebook Sear The sample se must become see score Enter your answer in the answer box to search
A variable of a population has a mean of u = 70 and a standard deviation of a = 7. a. Identify the sampling distribution of the sample mean for samples of size 49. b. In answering part (a), what assumptions did you make about the distribution of the variable? c. Can you answer part (a) if the sample size is 16 instead of 49? Why or why not? a. What is the shape of the sampling distribution? normal a...