# -the-distribution-of-the-various-sample-sizes-Statistics-homework-help

The sampling distribution of the sample mean refers to

 the distribution of the different possible values of the sample mean B. the distribution of the various sample sizes
 C. the distribution of the values of the objects/individuals in the population D. the distribution of the data values in a given sample
 E. none of the listed

2. The Central Limit Theorem states that

 if the sample size is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve if the sample size is large, then the distribution of the sample sizes can be approximated closely by a normal curve if the population size is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve if the population size is large, then the variance of the sample mean must be small
 if the sample size is large, then the standard deviation of a given sample must be small

The sampling distribution of the sample mean based on a random sample of size 100 from a significantly right-skewed distribution will have a

 normal distribution poisson distribution binomial distribution right-skewed distribution none of the above

Suppose a sample of size 100 is selected from a non-normal population with mean 40 and standard deviation 25. Then the distribution of possible values of the sample mean will be

 approximately normal with mean 40 and standard deviation 2.5 approximately binomial with mean 40 and standard deviation 2.5 approximately normal with mean 40 and standard deviation 25 approximately binomial with mean 40 and standard deviation 25 approximately normal with mean 4 and standard deviation 25 approximately binomial with mean 4 and standard deviation 25