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In the setting of inference of a proportion, [31 is the sample proportion and p is the population proportion

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In the setting of inference of a proportion, [31 is the sample proportion and p is the population proportion. (a) True (b) False 2. In the normal distribution framework for a hypothesis test for a proportion, what is the standard error? (po is the null value, p is the sample proportion, n is the number of observations) (a) SE = p0(1_p0) _ "(1—3 (b)SE— P," (c)SE=J':E (d)SE= % 3. The sampling distribution for p, taken from a sample of size n from a population with a lme proportion p, is nearly normal when: (a) The sample observations are independent (b) The success-failure condition is met. (c) Both (a) and lb) (d) Not enough information 4. To make inference about the difference of two proportions using the normal approximation, the conditions for the sampling distribution of {51- [52 is (are) : (a) Each proportion separately follows a normal distribution (b) The two samples are independent of each other it) Both (a) and (b) (d) Not enough information 5. To make inference about the difference of two proportions, when the null hypothesis is that the proportions are equal, use to verify the success-failure condition and estimate the standard error. (3} I31 , - 111+": (d) None of the above