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Confidence level 99%, and alpha = 1%.
The width reduces.
it would be with a level of significance of 0.15.
decrease
95% confidence level is most popular
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.
it increases
The confidence interval becomes wider.
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.
True.
The width reduces.
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.
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 margin of error increases as the level of confidence increases because the larger the expected proportion of intervals that will contain the parameter, the larger the margin of error.