Confidence level 99%, and alpha = 1%.
decrease
it would be with a level of significance of 0.15.
The width reduces.
The connotation 'statistical significance' takes into account the number of samples as well level of confidence in making a conclusion based on these samples. The level of confidence is typically denoted as 1-alpha (1 minus alpha), where alpha is basically the chance that the reported conclusion will incorrect. The most popular level of confidence is 95%, which coincides with a 5% alpha, meaning that when one makes a conclusion based on a particular sample, there is a 5% chance of a false or incorrect conclusion.
Confidence level 99%, and alpha = 1%.
decrease
it would be with a level of significance of 0.15.
The confidence interval becomes wider.
confidence level
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.
Confidence IntervalsConfidence interval (CI) is a parameter with a degree of confidence. Thus, 95 % CI means parameter with 95 % of confidence level. The most commonly used is 95 % confidence interval.Confidence intervals for means and proportions are calculated as follows:point estimate ± margin of error.
True.
The width reduces.
it increases
It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75