X ~ N ( µ = 75 , σ = 12 )
Part a)
Mean of the sample mean µX̅ = µ = 75
Standard deviation of sample mean σX̅ = σ / √ (n) =
12/√121 = 1.0909
Part b)
Mean of the sample mean µX̅ = µ = 75
Standard deviation of sample mean σX̅ = σ / √ (n) = 12/√400 = 0.6
As the sample size increase mean remain same, but standard deviation of the sample mean decreases.
SELF ASSESSMENT A population has mean 75 and standard deviation 12. a. Random samples of size...
1. A population has a mean of 60 and a standard deviation of 30. Samples of size 16 are randomly selected. Calculate the standard deviation of the sample distribution X. 2. Samples of size 16 are drawn from a population. the sampling distribution for X has a standard deviation of 0.25. Find the standard deviation of the population. 4. Tires are found to have a mean life of 40,000 miles. The standard deviation is 8000. A sample of 400 is...
Population A has a larger standard deviation than Population B. If samples of equal size are taken from both populations, which sample will have a smaller standard error of the mean? a. Unable to determine with provided information b. the sample from Population B c. the sample from Population A d. The samples will have the same standard error of the mean
100 samples of size 25 are taken from a population with mean 42 and standard deviation 12. How many samples would you expect to have means greater than 52.1?
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
Suppose x has a distribution with a mean of 70 and a standard deviation of 20. Random samples of size n = 64 are drawn. (a) Describe the distribution. x has a geometric distribution. has a normal distribution. x has an unknown distribution. x has a Poisson distribution. X has an approximately normal distribution. x has a binomial distribution. Compute the mean and standard deviation of the distribution. (For each answer, enter a number.) Hy = Oz = (b) Find...
The mean of a population is 75 and the standard deviation is 14. The shape of the population is unknown. Determine the probability of each of the following occurring from this population. a. A random sample of size 33 yielding a sample mean of 79 or more b. A random sample of size 140 yielding a sample mean of between 73 and 77 c. A random sample of size 218 yielding a sample mean of less than 75.7 (Round all...
A population has a mean of 30 and a standard deviation of 9. If samples of size 36 are collected, find the mean and standard deviation of the sampling distribution. The mean of the sampling distribution is and the standard error is A population has a mean of 30 and a standard deviation of 9. If samples of size 36 are collected, find the mean and standard deviation of the sampling distribution. The mean of the sampling distribution is and...
Random samples of size 55 are taken from a normally distributed population that has 425 elements, a population mean of 20, and a population standard deviation of 7. What is the standard deviation of the sampling distribution of the sample means?
a population has mean 48.4 and standard deviation 6.3 (a)find the mean and standard deviation of x for samples of size 64 (b) find the probability that the mean of a sample of size 64 will be less that 46.7