The basis for using a normal probability distribution to approximate the sampling distribution of is
A)Chebyshev's theorem
B)the empirical rule
C)the central limit theorem
D)Bayes' theorem

Question

The basis for using a normal probability distribution to approximate the sampling distribution of  is
A)Chebyshev's theorem 
B)the empirical rule 
C)the central limit theorem 
D)Bayes' theorem

Quizplus · Accepted Answer

The central limit theorem states that the sampling distribution of a large enough sample size (n>30) will be approximately normally distributed regardless of the underlying population distribution. Since the sample size for 11eaaba9_1214_89bc_b90e_cd7353c16db6_TB2074_11 is not specified, we assume that it is large enough to apply the central limit theorem. Therefore, using a normal probability distribution to approximate the sampling distribution is appropriate.

The Basis for Using a Normal Probability Distribution to Approximate