Arithmetic Mean | Definition | Examples - Statistics Part 1
Arithmetic Mean (A.M
)
Let us first take the case of ungrouped raw
data. Let x1, x2,
............xn be the values of a variable, x. Then the simple arithmetic mean is defined as the sum of all
the values divided by the number of values of the variable. If denotes the
simple arithmetic mean, then, by definition, Arithmetic Mean = (x1 + x2 + .......xn)/n
.
If x is a discrete variable assuming values x1,,x2, ........xk
with frequencies f1,f2
.......fk the arithmetic mean is defined as x̄ = ∑fixi
this is so because in the above definition it has been implicitly assumed that
all the values of a variable a class interval are equal to the mid-value of
that class and thus the, formula only gives an approximate value of the arithmetic
mean. Some error will, remain in the calculated value of mean obtained from
grouped data. This error is known as grouping error. This error will be negligible
if the width of the class interval be compared to the total range of the
variable values.
Example:
|
Weekly
wages |
Frequency |
|
20-30 |
10 |
|
30-40 |
8 |
|
40-50 |
6 |
|
50-60 |
4 |
|
60-70 |
2 |
Solution:
|
Weekly wages |
Frequency
(fi) |
Mid
Value (xi) |
|
20-30 |
10 |
25 |
|
30-40 |
8 |
35 |
|
40-50 |
6 |
45 |
|
50-60 |
4 |
55 |
|
60-70 |
2 |
65 |
|
Total |
∑fi
= 11 |
|
Now, by definition, A.M, ∑fixi/∑fi = 1150/11 = Rs. 38.33
This shows that the average weekly wages is Rs.
38.33

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