A population has m = 35, s = 10. For a sample of n = 100 drawn from this population, what is the probability that the sample mean equal or is larger than 34?

a. .841

b. .159

c. .343

d. .557

7. According to the Central Limit Theorem, for any population with mean of m and standard deviation of s,

a. The distribution of sample means for sample size n (n 30) will approach a normal distribution.

b. The mean of the distribution of sample means for sample size n (n 30) will be m.

c. The standard error of the distribution of sample means for sample size n (n 30) will be .

d. All of the above

8. To compute the standard error of sample mean difference in an independent two-sample case when is unknown, the researcher must figure out

a. Sample variances of both samples

b. Sample means of both samples

c. Sample sizes of both samples

d. all of the above