Answer:
A. z-test for the population mean
Explanation:
Here, we are dealing with sampling distribution of mean with a given population standard deviation following the standard normal distribution for large sample size. Hypothesis testing which involves large samples (large samples starts from n = 30 upwards) is based on the assumption that the population from which the sample is drawn has a normal distribution and the sampling distribution of the sample statistic is also normal. Even if the population does not have a normal distribution, the sampling distribution of the sample statistic is assumed to be normal due to the central limit theorem since the sample size is large. In this case, since we are to determine whether the mean Full Scale IQ score of the Smart County residents is higher, then a right-tailed z- test will be used and the hypothesis will be H0: μ = μ0 against H1: μ > μ0 where the decision rule is to reject the null hypothesis if the calculated test statistic is greater than the tabulated z value at a given level of significance.