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MODE (Discrete Series):                        Inspection
                                (Frequency Array)                                Method
                                   Wages           f
                                                                       The value ‘300’ has
                                    100           2                    highest frequency i.e
                                    200           1                    4.
                                    300           4
                                    400           2                  Hence Mode = 300
                                    500           1


                      Range, Interquartile range, and Box Plot


              Range,  interquartile range,  and  box plot are essential statistical concepts  used to understand  the  distribution  and
              variability of data.
              Let us understand about the following in detail:

              Range
              A dataset's range is determined statistically by deducting the smallest value from the largest value. It is a straightforward
              measure of variability.
              Example
              Range of heights of students in a class = 19.3 (max) - 10.8 (min) = 8.5
              As ranges only count extreme values, they occasionally may not have a positive impact on variability.

              Interquartile Range
              The quartile division of a data set yields the interquartile range (IQR), a statistical measure of statistical dispersion.
              In more detail, it is the variation between a data set's upper (Q3) and lower (Q1) quartiles. The data must be arranged
              from lowest to highest before the IQR can be calculated. After that, the data set's median (Q2) is calculated, and the
              lower quartile (Q1) corresponds to the median of the lower half of the data set (i.e., the data points below the median),
              while the upper quartile (Q3) corresponds to the median of the upper half of the data set (i.e., the data points above the
              median). Lastly, the IQR is determined as the difference between Q3 and Q1.

              Example:
              Take into account these numbers: 1, 3, 4, 5, 5, 6, 7, 11. The median value for the first half of the data set is Q1. The middle
              value is the average of the two middle values, which is Q1 = (3 + 4)/2 or Q1 = 3.5 as the first half of the data set has an even
              number of data points. The middle value in the second half of the data set is Q3. The middle value is the average of the two
              middle values, which is Q3 = (6 + 7)/2 or Q3 = 6.5 as again the second half of the data set has an even number of values.
              The interquartile range (IQR) thus, is equal to Q3 minus Q1, or 6.5 - 3.5, or 3.

              Box Plot
              A box plot is a form of chart that is frequently used in explanatory data analysis. It is also referred to as a box and whisker
              plot. Box plots use the data's quartiles (or percentiles) and averages to visually depict the distribution of numerical data
              and skewness.
              Box plots display a dataset's minimum score, first (lower) quartile, median, third (upper) quartile, and maximum scores.
                                           Lower Quartile       Median        Upper Quartile
                                                Q1                Q2               Q3
                                Min                                                               Max
                                       25%             25%                25%             25%
                                     Whisker                                              Whisker

                                                                 Box
                                                         Inter Quartile Range (IQR)
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