Categorical data stand for characterisitcs the one deserve to observe and sort right into groups. If thisdata happens to it is in numerical, then the numbers would certainly not have any kind of mathematical an interpretation or proper order.Examples that cateogrical data are class (freshman, sophomore, etc), color (blue, red, yellow, etc), and also gender (male, female). Come graph categorical data, one offers bar charts and pie charts.

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Bar chart: Bar charts use rectangle-shaped bars come plot qualitative data versus its quantity.

Pie chart: Pie charts space circular graphs in which miscellaneous sliceshave different arc lengths depending on its quantity.

**Numerical**

Numerical data represent values that deserve to be measured and also put into a reasonable order. Instances of numerical data room height, weight,age, variety of movies watched, IQ, etc. Come graph number data, one uses dot plots, stem and leaf graphs, histograms, box plots, ogive graphs, and also scatter plots.

Dot plot:

Stem and leaf: because that these graphs, the stem represents the very first digit the the number and also the leaf/leaves represent the second digit(s). For example, as soon as 4 is the stem and also 5 is the leaf, the matching number is 45.

Histogram: Histograms, similar to bar graphs, use rectangle-shaped bars whose heights correspond to frequency. However, bar graphs plot categorical data and have void betweeneach bar, whereas histograms plot number data and also are constant (no gaps).

Box plot: crate plots graphically stand for the 5 Number Summary. For more information on box plots, click here.

Scatter plot: these graphs have an x-variable and also a y-variable. The data pointsare plotted to see if over there is one association in between the 2 variables.

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Ogive: Ogive graphs plot a variable against its correspondingpercentile (the percent of monitorings at or listed below that value). For more information on ogives, click here.