Tag Archives: Confidence interval

Confidence Interval for Two Independent Proportions

A confidence interval for two independent proportions is a tool used in inferential statistics to estimate a proportional* difference between two independent populations. These two populations must be distinguished by a single binary categorical variable; e.g. sex (male or female), but not blood type (A, B, AB, or O). With this information, it can be […]

Confidence Interval for Two Independent Means

A confidence interval for two independent means is calculated to likely contain the difference between two true population means for one binary categorical variable and one quantitative variable. For example, a company might be considering replacing some of its packaging workers with machines, so they will compare the mean amount of time it takes a […]

Confidence Interval for Two Independent Proportions

Confidence interval for two independent proportions gives an estimated range of values, which is likely to include the difference between the two true population proportions for two categorical variables. For example, medical researchers may want to compare the proportions of men and women who suffered from heart attacks. The procedure for obtaining such an interval […]

Confidence Interval for Paired Means

The method of paired means is used when two sets of data have the same number of elements, and there exists a one-to-one correspondence between the elements of each set. The first step in using this method is to calculate the difference between the two sets of data: . This results in one quantitative variable […]