Teacher doesn't know how to teach and my book must be dumb cause I had to google statistics srs to even find out that what was. Lets illustrate the idea of sampling distribution in the case of a very small sample from a very small population. The population is the scores of 10 students on an exam: Students 0 1 2 3 4 5 6 7 8 9 and Exam scores. 82 62 80 58 72 73 65 66 74 62 ( 0,82),(1,62), (2,80)..etc is how they're lined up in a table. The parameter of interest is the mean score Mu in this poopulation. The sample is an SRS of size n=4 drawn from the population. Because the students are labeled from 0 to 9, a single random digit from Table B chooses one student for the sample.

a) Find the mean of the 10 scores of the population. This is the population mean u.

use the first digits in row 116 of Table B to draw an SRS of size 4 from this population. What are the four scores in your smaple? What is their mean x (With bar over it). This statistic is an estimate of Mu.

c) Repeat this process 9 more times, using the first digits in rows 117 to 125 of Table B. Make a histogram of the 10 values of x(bar over it). You are constructing the sampling distribution of x(bar over it. Is the center of your histogram close to Mu?

I understand A but don't get b and c. My teacher does no examples like the hw problems and i read the chapter and it randomly started saying srs without even telling me it stood for simple random sample. Anyway, can someone explain how to do this problem please.

You really need to post table B if you want to find the random sample, but if what you posted is from table b, take four numbers from row 116 (the first digits) and find the mean, for c, you take four rrandom numbers from 117 to 125 (do this process 9 times)