at is sampling error, and how would you distinguish it from nonsampling error?

Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…

The students in an Introductory Statistics class are asked to complete a survey about study habits. (a) does the study appear to use random sampling? yes or no (b) does the study appear to use random assignment? yes or no

Knowing that you need a sample pool of 536 students to ultimately get about 250 students in your sample, you are in position to draw a systematic sample from the student directory at your university. Further, 5,000 students are listed in the directory. What is the sampling interval?