The document discusses measures of central tendency and variability that students will learn by the end of a module. It defines and provides examples of mean, median, and mode as measures of central tendency, and range, quartile deviation, and standard deviation as common measures of variability. It explains how to compute and interpret each of these statistical concepts.

1. GreenHearts

2. At the end of the module, the students will be able to know the
following:
The computation and interpretation for measures of Central
Tendency
Computation and interpreattaions for measures of
Variability

3. MEASURES OF CENTRAL
TENDENCY
 Mean- the most
common measure of
center and is alsoknown
as the “ arithmetic
average ”.

4. MEASURES OF CENTRAL TENDENCY
 Median – it is the point  Mode – refers to the
that divides the scores in scores that occurred
a distribution in two most in the distribution.
equal parts

5. Measures of Variability
This is used to describe the spread out of the scores in a
distribution that is above or below the measures of central
tendency.
There are three commonly measures of variability:
The range
The quartile deviation
And the standard deviation

6. Three commonly measures of variability:
 Range – the difference between the highest score and
lowest score in the data set.
 Quartile Deviation – The half of the difference between
the third quartile and the first quartile.
 Standard Deviation – the most important and useful
measure of variation, it is the square root of the variance.

7. Quartile Deviation

8. Standard Deviation