a) T or F The sampling distribution will be normal. Explain your answer.
b) Find the mean and standard deviation of the sampling distribution.
c) We pick one of our samples from the sampling distribution what is the probability that this sample has a mean that is greater than 109 ? Is this a usual or unusual event?
these are the rest of the question.
If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.
You calculate the standard error using the data.
Yes.
If the sample size is large (>30) or the population standard deviation is known, we use the z-distribution.If the sample sie is small and the population standard deviation is unknown, we use the t-distribution
z=(x-mean)/(standard deviation of population distribution/square root of sample size) T-score is for when you don't have pop. standard deviation and must use sample s.d. as a substitute. t=(x-mean)/(standard deviation of sampling distribution/square root of sample size)
normal distribution
If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.
normal distribution
You calculate the standard error using the data.
Yes.
The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.
The standard deviation in a standard normal distribution is 1.
If the sample size is large (>30) or the population standard deviation is known, we use the z-distribution.If the sample sie is small and the population standard deviation is unknown, we use the t-distribution
Only the mean, because a normal distribution has a standard deviation equal to the square root of the mean.
in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
The standard deviation in a standard normal distribution is 1.
z=(x-mean)/(standard deviation of population distribution/square root of sample size) T-score is for when you don't have pop. standard deviation and must use sample s.d. as a substitute. t=(x-mean)/(standard deviation of sampling distribution/square root of sample size)