 Krishna
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Step 1: Know about the deviation or assumed mean method

The assumed mean method (or deviation) method are just simplified form of

the direct method.

Let x_1, x_2, x_3............, x_n be observations with respective

frequencies f_1, f_2,............f_n

Mean = a + \frac{\Sigma f_id_i}{\Sigma f_i}

Where, d_i = x_i - a

a - Assumed mean

Step 2: Choose one among the observations as the assumed mean, and denote it by 'a'

NOTE: It is taken somewhere in the middle of all the values of observations

Assumed mean a = 25

Step 3: Find the deviation of ‘a’ from each of the observations ( x_i 's)

Deviation   d = x_i - a

x_1=5, a = 25

d = 5 - 25 = - 20

Calculate the deviation for every observation (See the table)

Step 4: Find the product of d_i(deviations) with the corresponding frequencies f_i, and take the sum of all the f_id_i's.

Calculations are shown in table given below Step 5: Find the mean of the deviations

Mean of the deviations  =   a + \frac{\Sigma f_id_i}{\Sigma f_i}

25 - \frac{1170}{400}

Mean =   25 - 2.925

Mean = 22.075