Page 202 - Robotics and AI class 10
P. 202

(N+1) th
              2

           For even number of dataset:
                          
            N th  term+  N +1 term
             2          2  
                          
                     2

           To calculate median in Python :

          import statistics
          marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]
          m=statistics.median(marks)
          print("the middle value of the sorted marks in class :",m)
           Output:
           the middle value of the sorted marks in class : 41

        ●  Mode
           It is the most frequent value in a given dataset.
           There is no formula for this:

           Mode = The value in the data set that occurs most frequently
           To calculate mode in Python :

          import statistics
          marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]
          m=statistics.mode(marks)

          print("the most frequent marks :",m)
           Output:

           the most frequent marks : 39
        ●  Standard Deviation
             It is the measure of dispersion of a set of data from its mean. The higher the dispersion of the data, the greater
           is the standard deviation and vica versa.
           The formula for calculation:

                 ∑ ( x - mean) 2
             σ  =
                      n
           To calculate Standard Deviation in Python:

           import statistics
        ` marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]

          m=statistics.stdev(marks)
          print("the standard deviation of marks :",round(m,2))
           Output:
           the standard deviation of marks : 4.66




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