Asked by
Alexis Renee
on Nov 27, 2024Verified
According to the Central Limit Theorem, for large samples the standard error of the sample mean is the population standard deviation divided by the square root of the sample size.
Standard Error
A statistical measure that describes the accuracy with which a sample represents a population, particularly in mean estimation.
Central Limit Theorem
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.
Sample Mean
The average value obtained from a sample, used as an estimate of the population mean.
- Capture the essence and significance of the Central Limit Theorem (CLT) within statistical inference, specifically its effect on the configuration of the sampling distribution.
- Master the idea of standard error and its significance in explaining the variability inherent in sample statistics.
Verified Answer
CP
Learning Objectives
- Capture the essence and significance of the Central Limit Theorem (CLT) within statistical inference, specifically its effect on the configuration of the sampling distribution.
- Master the idea of standard error and its significance in explaining the variability inherent in sample statistics.