Confidence Interval Width vs. Sample Size, Standard Deviation, and Mean (Q2e–i)
We shouldn’t have to give up confidence in order to have a smaller (more precise) interval estimate. In this video I cover all of the other factors that we can change to affect the width of the confidence interval, and I discuss why increasing the sample size is by far the best approach.
Test your understanding:
Quiz Summary
0 of 2 Questions completed
Questions:
Information
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
Results
Results
0 of 2 Questions answered correctly
Time has elapsed
| Average score |
|
| Your score |
|
Categories
- Not categorized 0%
- 1
- 2
- Current
- Review
- Answered
- Correct
- Incorrect
-
Question 1 of 2
1. Question
Doubling the population standard deviation s has the effect of doubling the width of the confidence interval estimate of m.
CorrectIncorrect -
Question 2 of 2
2. Question
When constructing confidence interval estimate of μ, doubling the sample size n decreases the width of the interval by half.
CorrectIncorrect