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These assumptions ensure that our sampling distribution is normal when working with sample proportions. That way, we can use z-scores!
#1: Sample is randomly selected from the population.
#2: The sample size (n) is less than or equal to 10% of the population size (N)
#3: There are 10 successes and 10 failures in the sample OR np >= 10 and nq >= 10.
Remember, p is the proportion of success and q is the proportion of failure. (Ex: If p = 0.75, then q = 0.25)
Probability of success (p) = Participant lives in Ohio
Probability of failure (q) = Participant does not live in Ohio
