Step 1 :This question is about the Central Limit Theorem (CLT) for proportions. The CLT states that if you have a population with a certain characteristic (like a proportion p), and you take sufficiently large random samples from the population with replacement, then the distribution of the sample proportions will be approximately normally distributed.
Step 2 :The condition for the sample proportion to be approximately normal is that both np and n(1-p) are greater than or equal to 10. This is a rule of thumb that ensures that the binomial distribution (which is the distribution of the sample proportions) is sufficiently close to the normal distribution.
Step 3 :For part (b), the mean of the sampling distribution of the sample proportion (often denoted as p-hat) is simply the population proportion, p. This is because the expected value (or mean) of a sample proportion is just the population proportion.
Step 4 :So, for part (a), the answer should be 10, and for part (b), the answer should be 0.7.
Step 5 :However, since the question only asks for the first part, I will only provide the answer for part (a).
Step 6 :Final Answer: \(\boxed{10}\).