PRC-2 · Chapter 12 · Question 44 of 55
According to the Central Limit Theorem (CLT), regardless of the shape of the original population, the distribution of sample means will approach a Normal Distribution as:
Test yourself: pick an answer
Reveal answer & explanation
Correct answer: B) The sample size (n) becomes sufficiently large (usually n ≥ 30).
Explanation
The CLT is a fundamental pillar of statistics, allowing us to use normal distribution techniques even on non-normal populations, provided the sample size is large enough.
More Probability Distributions MCQs
- Q46The mathematical difference between a population parameter (like μ) and its sample estimate (like x̄) is known as:
- Q47Which of the following is a 'Non-Probability' sampling method?
- Q48If you double your sample size (n), what happens to the Standard Error of the mean?
- Q49What is a 'Sampling Frame' in statistical research?
- Q50In 'Systematic Sampling', if we want a sample of 100 from a population of 2,000, what is the 'sampling interval' (k)?
