Asked by
Matthew Kellerstrass
on Nov 27, 2024
Verified
Consider a large population with a mean of 150 and a standard deviation of 27. A random sample of size 36 is taken from this population. The standard error of the sampling distribution of sample mean is equal to:
A) 4.17
B) 4.50
C) 5.20
D) 5.56
E) 6.00
Standard Error
A measure of the variability or precision of the sample mean estimate of a population mean, reflecting how much the sample mean would vary if the study were repeated.
Sampling Distribution
Chance distribution specifics for a statistic based on a random sampling method.
Sample Mean
The average of the observations in a sample, used as an estimate of the population mean.
- Acquire insight into the concept of standard error and its relevance in characterizing the variability of sample statistics.
- Gain insight into how sample size alters the sampling distribution, affecting the standard error and the form of the distribution.
Verified Answer
PT
Learning Objectives
- Acquire insight into the concept of standard error and its relevance in characterizing the variability of sample statistics.
- Gain insight into how sample size alters the sampling distribution, affecting the standard error and the form of the distribution.
Related questions
If All Possible Samples of Size N Are Drawn from ...
According to the Central Limit Theorem, for Large Samples the ...
The Spread of the Distribution of Sample Means Is Considerably ...
As the Sample Size Increases, the Standard Error of the ...
The Population of Incomes in a Community College in Iowa ...