If standard deviation ?n=3 for the sampling distribution of random samples of size 81 from a large population. What sample size (drawn from the same population) would have standard deviation ?n=2.7?
27
100
108
73
simga(n) = sigma/sqrt(n)
Lets find the sigma of the population,
sigma = 3 * sqrt(81) = 27
now, in order to get the sample size
2.7 = 27/sqrt(n)
n = (27/2.7)^2 = 100
Ans: 100
If standard deviation ?n=3 for the sampling distribution of random samples of size 81 from a...
7. The standard deviation of the mean for the sampling distribution of random samples of size n-36 from a large (or infinite) population is 2. How large must the sample size be to decrease the standard deviation to 1.2?
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
11. If the standard deviation of the mean for the sampling distribution of random samples of size 36 from a large or infinite population is 2, how large must the sample size become if the standard deviation is to be reduced to 1.2? Show work. (8 points)
Random samples of size n = 2 are drawn from a finite population that consists of the numbers 2, 4, 6, and 8. (a) Calculate the mean and the standard deviation of this population. (b) List the six possible random samples of size n = 2 that can be drawn from this population and calculate their means. (c) Use the results of part (b) to construct the sampling distribution of the mean for random samples of size n = 2...
A simple random sample of size n = 81 is obtained from a population with u = 70 and o = 27. (a) Describe the sampling distribution of x. (b) What is P (X>73)? (c) What is P (7562.5) ? (d) What is P (67.9<x< 75.25)?
If random samples of size n = 36 are drawn from a nonnormal population with finite mean = 75 and standard deviation = 15, then the sampling distribution of the sample mean is approximately normally distributed with mean = 75 and standard deviation = 2.5. Select one: O a. False O b. True
For each of the following, find the mean and standard deviation of the sampling distribution of the sample mean. State if the sampling distribution is normal, approximately normal, or unknown. a. The population is skewed right with a mean of 4 and a standard deviation of 6. Many samples of size 100 are taken. b. The population is normal with a mean of 61 and a standard deviation of 9. Many samples of size 900 are taken. c. The population...
1) Random samples of size n were selected from populations with the means and variances given here. Find the mean and standard deviation of the sampling distribution of the sample mean in each case. (Round your answers to four decimal places.) (a) n = 16, μ = 14, σ2 = 9 μ=σ= (b) n = 100, μ = 9, σ2 = 4 μ=σ= (c) n = 10, μ = 118, σ2 = 1 μ=σ= 3) A random sample of size...
Fill in the blanks to correctly complete the sentence below. Suppose a simple random sample of size n is drawn from a large population with mean u and standard deviation o. The sampling distribution of x has mean u;= __ deviation = and standard Suppose a simple random sample of size n is drawn from a large population with mean u and standard deviation o. The sampling distribution of x has mean u; = | Vand standard deviation or
Consider a sampling distribution with p=0.09 and samples of size n each. Using the appropriate formulas, find the mean and the standard deviation of the sampling distribution of the sample proportion. a. For a random sample of size n=4000. b. For a random sample of size n=1000. c. For a random sample of size n=250.