answersLogoWhite

0


Best Answer

Yes.

User Avatar

Wiki User

9y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: If the variance of a distribution increases will the confidence in a given interval decrease?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What happens to the confidence interval as the standard deviation of a distribution increases?

The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.


What Happens To The Width Of The Confidence Interval If You Decrease The Confidence Level Decrease The Sample Size or Decrease the margin of error?

The width of the confidence interval willdecrease if you decrease the confidence level,increase if you decrease the sample sizeincrease if you decrease the margin of error.


The width of a confidence interval is equal to twice the value of the margin of error?

No. The width of the confidence interval depends on the confidence level. The width of the confidence interval increases as the degree of confidence demanded from the statistical test increases.


What happens to width of interval if you decrease the sample size?

It will decrease too. * * * * * If it is the confidence interval it will NOT decrease, but will increase.


What happens to the width of the confidence interval when you are unable to get a large sample size?

The width of the confidence interval increases.


What happens to the width of the confidence interval if you decrease the confidence level?

The width reduces.


What happens to interval when level of confidence is increased?

it increases


What happens to the confidence interval as the sample estimate increases?

Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.


When population distribution is right skewed is the interval still valid?

You probably mean the confidence interval. When you construct a confidence interval it has a percentage coverage that is based on assumptions about the population distribution. If the population distribution is skewed there is reason to believe that (a) the statistics upon which the interval are based (namely the mean and standard deviation) might well be biased, and (b) the confidence interval will not accurately cover the population value as accurately or symmetrically as expected.


What happens to the confidence interval as the standard deviation of a distribution decreases?

It goes up.


What would happen to the width of the confidence interval if the level of confidence is lowered from 95 percent to 90 percent?

decrease


What will happen to the width of a confidence interval if the sample size is doubled from 100 to 200?

It will decrease.It will decrease