The population of current statistics students has ages with mean muμ and standard deviation sigmaσ. samples of statistics students are randomly selected so that there are exactly 4242 students in each sample. for each sample, the mean age is computed. what does the central limit theorem tell us about the distribution of those mean ages? a. because ngreater than> 30, the sampling distribution of the mean ages is precisely a normal distribution with mean muμ and standard deviation startfraction sigma over startroot 42 endroot endfractionσ42.b. because ngreater than> 30,the sampling distribution of the mean ages can be approximated by a normal distribution with mean muμ and standard deviation startfraction sigma over startroot 42 endroot endfractionσ42.c. because ngreater than> 30,the sampling distribution of the mean ages can be approximated by a normal distribution with mean muμ and standard deviation sigmaσ.d. because ngreater than> 30,the central limit theorem does not apply in this situation.