Question 7: Significance tests are used on samples of data. So, if we find a significant difference in the sample, what are we assuming about the underlying population and the sample.

Question 8: We learned that when two variables correlate, that does not mean their relationship is causal. Lets do a logical extension of this claim.

I maintain that, while all correlational relationships are not causal, all causal relationships (between A the cause and B the effect) are correlated. Explain.

Question 9: Would you need statistical inference techniques if, in fact, you actually had all of the population data? Explain.