The width reduces.
decrease
Confidence level 99%, and alpha = 1%.
it would be with a level of significance of 0.15.
The value for a one-sided confidence interval of 86% is 1.08
Confidence intervals of critical statistics provide a range of values within which we can reasonably estimate the true value of a population parameter based on our sample data. They are constructed by calculating the critical statistic, such as the mean or proportion, and then determining the upper and lower bounds of the interval using the standard error and a desired level of confidence, usually 95% or 99%. The confidence interval helps us understand the uncertainty around our estimates and provides a measure of the precision of our results.
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 confidence interval becomes wider.
it increases
decrease
confidence level
Confidence level 99%, and alpha = 1%.
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.
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.
True.
it would be with a level of significance of 0.15.
, the desired probabilistic level at which the obtained interval will contain the population parameter.
The answer depends on whether the confidence interval is one sided or two sided.