For a sample taken from a population with µ=38 and σ=6, which sample size would likely create the smallest σM?

For a normal population with a mean of 80 and a standard deviation of 10, what is the probability of obtaining a sample mean greater than M = 75 for a sample of n = 25 scores?

Which of the following accurately describes the effect of increasing the sample size?

Which combination of factors will increase the chances of rejecting the null hypothesis?

If the alpha level increases:

A sample of n = 16 scores is selected from a population with µ = 80 with σ = 20.  On average, how much error would be expected between the sample mean and the population mean?

A treatment is administered to a sample of n = 9 individuals selected from a population with a mean of 80 and a standard deviation of 12.  After treatment, the effect size is measured by computing Cohen’s d, and a value of d = 0.50 is obtained.  Based on this information, what is the mean for the treated sample?

John drives to work each morning and the trip takes an average of 38 minutes.  The distribution of driving times is approximately normal with a standard deviation of 5 minutes.  For a randomly selected morning, what is the probability that John’s drive to work will take less than 35 minutes?

What is the standard error of the mean if the standard deviation is 2.6 and the number of individuals is 81?

What is a benefit of sampling without replacement?