1. Measures of Central Tendency
Several statistics can be used to represent the
"center" of the distribution. These statistics
are commonly referred to as measures of
central tendency (They are sometimes called
Measures of location).
We shall look at three measures of location and
then discuss their relative merits
2. 1. Arithmetic Mean
The arithmetic mean, or simply called mean, is the
most common measure of central tendency and
the one that can be mathematically
manipulated. It is defined as the average of a set
of measurements.
To distinguish between the mean for the sample
and the mean for the population, we will use the
symbol (x-bar) for a sample mean and the
symbol U ( mu) for the mean of a population
3. Arithmetic Mean for Raw Data
It is always obtained by adding together all of
the measurements and dividing by the total
number of measurements taken.
Mathematically it is given as
7. Arithmetic Mean for Grouped Data:
It is always obtained by adding together all of
frequency distribution of the measurements
and dividing by the total frequency of the
measurements taken. Mathematically it is
given as
Examples:
8. Wage in $ 220 250 300 350 375
No. of
Workers
12 15 18 20 5
Find the mean wage of the workers:
9. Wage in $ No. of Workers f x
220 12 2640
250 15 3750
300 18 5400
350 20 7000
375 5 1875
TOTAL 70 20665
11. Number of
accidents, xi
Frequency
Fi
f x
0 55 0
1 14 14
2 5 10
3 2 6
4 0 0
5 2 10
6 1 6
7 0 0
8 1 8
TOTAL 80 54
Find the sample mean of the following accidents data.
Solution:
=
= 0.675