Suppose that, as in Exercises 5.11 and 5.79, Y1 and Y2 are uniformly distributed over

Note: Pop. is short for Population Quick review sampling/sample size: the number of observations in a sample. We take a sample from the population. Law of Averages: Averages and proportions vary less from the “expected” as sample size increases;the statistical tendency toward a fixed proportion in the results when an experiment is repeated a large number of times Ex: Toss a coin 100 timespercentage of heads (not the # of heads) gets closer to 50% # of heads = half the # of tosses + chance error  chance error: likely to become larger as # of tosses increases, but likely to be small when compared to the total number of tosses. So, as sample size the precision in predicting from the expected