Chapter 9. Section 9.1 – Sampling Distributions. Introduction. The process of statistical inference involves using information from a sample to draw conclusions about a wider population.
Section 9.1 – Sampling Distributions
Remember s and p:
statistics come from samples and
parameters come from populations
symmetric and approximately normal
close to the true value of p = .37 for the
population from which samples were drawn.
1000 SRSs of size 100
The mean of all of the ’s is .372 and
the median is exactly .37
This sampling distribution represents 1000 SRSs of size 1000
The range is a lot less and almost all ’s are close to the population parameter p = .37
This is the same sampling distribution as the previous, but with a different scale so you can see the shape better