Asked by
Valerie Arango
on Nov 27, 2024
Verified
The Central Limit Theorem describes the distribution of the sample mean except for populations that are normal.
Central Limit Theorem
A statistical theory that states that, given a sufficiently large sample size, the distribution of the sample mean will be approximately normally distributed, regardless of the distribution of the parent population.
Sample Mean
The sample mean is the average value of a sample set, calculated by adding together all of the observations and dividing by the number of observations.
- Become familiar with the contribution and importance of the Central Limit Theorem (CLT) to statistical inference, notably in its shaping of the sampling distribution.
- Acknowledge the conditions that allow the use of the Central Limit Theorem in both continuous and discrete distributions.
Verified Answer
PE
Learning Objectives
- Become familiar with the contribution and importance of the Central Limit Theorem (CLT) to statistical inference, notably in its shaping of the sampling distribution.
- Acknowledge the conditions that allow the use of the Central Limit Theorem in both continuous and discrete distributions.