Make Inferences about the Population From Random Sampling.
Explain whether each method below of obtaining a sample of size 20 would produce a random sample.
The data marked with a star in the table that you chosed above, all came from students at Springfield Middle School.
(1.) When you select the first value for your random sample, what is the probability that it will be a value that came from a student at Springfield Middle School?
(2.) What proportion of your entire sample would you expect to be from Springfield Middle School?
(3.) If you take a random sample of size 10, how many scores would you expect to be from Springfield Middle School?
(4.) Select a random sample of size 10. Did your random sample have the expected number of scores from Springfield Middle School?
(5.) Decide which measure of center makes the most sense to use based on the distribution of your sample.
(6.) Estimate this measure of center for your population based on your sample.
(7.) Calculate the measure of variability for your sample that goes with the measure of center that you found.
Dot plots, histograms, and box plots are different ways to represent a data set graphically.