Tag Archives: One categorical and one quantitative variable

Confidence interval for two independent means

A confidence interval for two independent means is a method of statistical inference to determine if there is a difference between the mean values of two populations, or what the value of the difference may be. Since it compares two populations, there must be a (binary) categorical variable involved in the global population by which to […]

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 […]

Side-by-Side Boxplots

A side-by-side box plot is a useful tool for visually comparing two data sets. Box plots work well on large data sets that are too disorderly to be displayed using other plots, but they may be also used on neat data sets. Side-by-side box plots present all of the information that box plots do for each instance of a […]

Side-By-Side Boxplots

Also known as a parallel boxplot or comparative boxplot, a  side-by-side boxplot is a visual display comparing the levels (the possible values) of one categorical variable by means of a quantitative variable. As its name implies, the side-by-side boxplot is constructed by placing single boxplots adjacent to one another on a single scale. A side-by-side […]