The mean is the most frequently used measure of central tendency because it uses all values in the data set to give you an average.

1. GRADUATE PROGRAM
Master of Arts in Education
Major in Administration and Supervision
Republic of the Philippines
EULOGIO “AMANG” RODRIGUEZ INSTITUTE OF SCIENCE AND TECHNOLOGY
Cavite Campus
Gen. Mariano Alvarez, Cavite
SUBJECT CODE: FS103
SUBJECT DESCRIPTION: Current Issues and Problems in Education
•TOPIC: BASIC AND INFERENTIAL STATIICS
PROFESSOR: Dr. Yvonne O. Carandang
REPORTER: Joseph D. Conclara

2. Week5
•MEASURES OF
CENTRAL
TENDENCY

3. MEASURES OF CENTRAL
TENDENCY

4. MEASURE OF CENTRAL TENDENCY
The measure of central tendency is
popular known as an average, whereas single
central value can stand for the entire group
of figures as typical of all the values in the
group. Measures of Central Tendency provide a
summary measure that attempts to describe a
whole set of data with a single value that
represents the middle or center of its distribution.

5. Mean
MEASURE OF CENTRAL TENDENCY
Median Mode
These are the three commonly
used measures in central
tendency.

6. MEAN
The mean is the most
frequently used measure of
central tendency because it
uses all values in the data
set to give you an average.

7. N
The mean of a data set is also
known as the average value. It
is calculated by dividing the
sum of all values in a data set
by the number of values.

8. MEDIAN
The median is the middle score
for a set of data that has been
arranged in order of magnitude.
The median is less affected by
outliers and skewed data.

9. The median tells you
where the middle of a
data set is.

10. MEDIAN
ADVANTAGE DISADVANTAGE
 Best measure of
central tendency
when the
distribution is
irregular or
skewed.
 Necessitates
arranging of
items according
to size before it
can be
computed.

11. The mode is the value that appears
most frequently in a data set. A set of
data may have one mode, more than
one mode, or no mode at all. Mode is
most useful as a measure of central
tendency when examining categorical data.
MODE

12. MODE
 The mode is that it will not
provide us with a very good
measure of central tendency
when the most common mark is
far away from the rest of the
data in the data set.

13. How Do I Calculate the Mode?
Calculating the mode is fairly straight
forward. Place all numbers in a given
set in order; this can be from lowest
to highest or highest to lowest, and
then count how many times each
number appears in the set. The one
that appears the most is the mode.

14. MODE
ADVANTAGE DISADVANTAGE
 Always a real
value since it
does not fall to
zero.
 Inapplicable to
small number of
cases when the
values not be
repeated.

15. REFERENCES:
https://www.youtube.com/watch?v=dhlJ3ONEDl
https://www.betterevaluation.org/en/evaluation-options/measures_of_central_tendency
https://www.educba.com/central-tendency-formula/

16. MEAN OF UNGROUPED
DATA

17. DATA

18. MEDIAN FROM UNGROUPED
DATA
To determine the value of median for ungrouped
data, we need to consider two rules:
1. If n is odd, the median is the middle
ranked.
2. If n is even, then the median is the
average of two middle ranked values.
Note that n the population/sample size.

19. UNGROUPED DATA
A data set that has one value that
occurs with the greatest frequency is
said to be unimodal.
A data set that has two value that
occurs with the same greatest
frequency, both values are considered
to be the mode and the data set is said
to be unimodal.

20. If a data set that has more than two
value that occurs with the same greatest
frequency, each value is used as the
model, the data set is said to be
multimodal.
When the data value occurs more
than once, the data set is said to have
no mode.
UNGROUPED DATA