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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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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
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.
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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