Asked by Karim Moukrem on Jul 04, 2024
Verified
In interval estimation, as the sample size becomes larger, the interval estimate
A) becomes narrower.
B) becomes wider.
C) remains the same, because the mean is not changing.
D) gets closer to 1.96.
Sample Size
The number of observations or data points collected in a study or used in a statistical analysis.
Interval Estimate
An estimate of a population parameter that provides a range of values, defined by lower and upper bounds, that is likely to contain the parameter of interest.
- Understand how sample size affects the width of interval estimates.
Verified Answer
MW
Michayla WashingtonJul 04, 2024
Final Answer :
A
Explanation :
As the sample size becomes larger, the standard error of the mean decreases, which results in a narrower interval estimate.
Learning Objectives
- Understand how sample size affects the width of interval estimates.