📝 One-liners · 65 cards
Central limit theorem (SAMPLING TECHNIQUES PARTT 2)
What does the Central Limit Theorem (CLT) state about the distribution of sample means?
The CLT states that the distribution of sample means approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.
What is the shape of the sampling distribution of means for large samples regardless of population shape?
It approximates a normal distribution due to CLT.
What is the minimum sample size generally recommended for the Central Limit Theorem to apply?
A sample size of 30 or more (n ≥ 30) is generally considered sufficient for the CLT to apply, though larger samples are preferred for highly skewed populations.
What is the formula for the standard error of the mean?
Standard deviation divided by the square root of sample size.
🔒
Unlock 65 revision one-liners
Interactive flashcard deck — flip every card to drill questions and answers, mark the ones you got wrong, and revise smarter for Central limit theorem (SAMPLING TECHNIQUES PARTT 2).
🪙
Unlock cost
300 coins
30-day access · re-unlocks free for 30 days