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A confidence interval, for a given probability, is the interval within which the true value may be found with that probability if the null hypothesis is true.

There are two possible reasons why a confidence interval may be asymmetrical. One is that the alternative hypothesis is asymmetrical: for example, H0 is X = 5 and H1 is X > 5 (rather than X ≠ 5).

The other possible reason is that the test statistic has an asymmetrical distribution.

Either of these can give rise to asymmetrical CIs.

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Q: What is asymmetrical confidence interval?
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Related questions

Why confidence interval useful?

Why confidence interval is useful


What happens to the confidence interval if you increase the confidence level?

The confidence interval becomes wider.


What Confidence interval is 0.05 alpha?

how are alpha and confidence interval related


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 the confidence interval as the mean decreases?

The confidence interval is not directly related to the mean.


What happens to the confidence interval if you increase the sample size?

The confidence interval becomes smaller.


Is a 95 percent confidence interval for a mean wider than a 99 percent confidence interval?

No, it is not. A 99% confidence interval would be wider. Best regards, NS


What is the most controllable method of increasing the precision of or narrowing the confidence interval?

Confidence intervals represent an interval that is likely, at some confidence level, to contain the true population parameter of interest. Confidence interval is always qualified by a particular confidence level, expressed as a percentage. The end points of the confidence interval can also be referred to as confidence limits.


Is confidence interval and confidence limits are same thing?

no,these are not the same thing.The values at each end of the interval are called the confidence limits.


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 does a confidence interval for a population mean constructed from sample data show?

A confidence interval of x% is an interval such that there is an x% probability that the true population mean lies within the interval.


If you have constructed the confidence interval 1200.058 1448.603 and the values are in thousands is it considered to be a good confidence interval or is it too large?

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