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Numerical and categorical variables are described using:
b) Means Plot
c) Box Plot
Descriptive Table is used to summarize data containing a combination of continuous and categorical variables. Large volumes of such data may be summarized in tables of means, counts, standard deviation or other descriptive statistics.
| Count | Mean | Standard Deviation | Minimum | Maximum | |
| Male | 76 | 36,6 | 9,4 | 22 | 58 |
| Female | 3209 | 39,7 | 8,9 | 19 | 61 |
| Total | 3285 | 39,6 | 8,9 | 19 | 61 |
This plot displays the means for the data analyzed. Note how easily you can see patterns in the plot.
Points represent means, which are connected by lines. Lines are very useful in situations where means are very similar to see one is higher.
A box plot is made up of a box (a rectangle) with various lines and points added to it. The top and bottom of the box are the 25th and 75th percentiles. The length of the box is thus the interquartile range (IQR). That is, the box represents the middle 50% of the data. A line is drawn through the middle of the box at the median (the 50th percentile). The upper adjacent value is the largest observation that is less than or equal to the 75th percentile plus 1.5 times IQR. The lower adjacent value is the smallest observation that is greater than or equal to the 25th percentile minus 1.5 times IQR. The adjacent values are displayed as T-shaped lines that extend from each end of the box. Values outside the upper and lower adjacent values are called outside values.
