COMM 214 FINAL MOCK EXAM | QUESTIONS AND ANSWERS | 2026 UPDATE | 100% CORRECT | WITH COMPLETE SOLUTIONS.

,
, COMM 214 FINAL MOCK EXAM |
QUESTIONS AND ANSWERS | 2026
UPDATE | 100% CORRECT | WITH
COMPLETE SOLUTIONS.



SECTION 1: PROBABILITY AND DISTRIBUTIONS
(Questions 1-10)




Question 1
According to the Central Limit Theorem, when does the sampling distribution
of the sample mean approach a normal distribution?

A) When the population is normally distributed
B) When the sample size is large enough, regardless of the population's
distribution
C) When the sample size is less than 30
D) When the population standard deviation is known

Answer: B) When the sample size is large enough, regardless of the
population's distribution

Rationale: The Central Limit Theorem states that as the sample size
increases, the sampling distribution of the sample mean approaches a
normal distribution, regardless of the population's distribution . This is a
fundamental concept in statistics that allows for inference even when the
population distribution is unknown or non-normal, provided the sample size
is sufficiently large (typically n ≥ 30).

Section: Sampling Distributions
Source: COMM 214 Final Exam Practice Test Guide