Asked by Tashun Mclean on Sep 28, 2024
The Central Limit Theorem states that,if a random sample of size n is drawn from a population,then the sampling distribution of the sample mean :
A) is approximately normal if n < 30.
B) is approximately normal if n > 30.
C) is approximately normal if the underlying population is normal.
D) None of these choices.
Central Limit Theorem
A statistical theory stating that the distribution of sample means approximates a normal distribution as the sample size becomes large, regardless of the population's distribution.
Sampling Distribution
The probability distribution of a given statistic based on a random sample, essential in estimating the sampling variability.
Sample Mean
The average value of a sample, used as an estimate of the population mean.
- Comprehend the core principles of the central limit theorem and its effects on the distribution of sample means.
Learning Objectives
- Comprehend the core principles of the central limit theorem and its effects on the distribution of sample means.
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