1. Measures of Central Tendency
FLORINDA M SOLIMAN
TEACHER II
TAGAYTAY CITY SCIENCE NATIONAL HIGH SCHOOL

2. Measures of Central Tendency
A measures of central tendency may be defined as single expression of the net result of a complex group.
There are two main objectives for the study of measures of Central Tendency.
To get one single value that represents the entire data.
To facilitate comparison

3. Measures of Central Tendency
There are three averages or measures of central tendency
Mean
Mode
Median

4. Measures of Central Tendency
Mean/Arithmetic Mean
The most commonly used and familiar index of central tendency for a set of raw data or a distribution is the mean
The mean is simple Arithmetic Average
The arithmetic mean of a set of values is their sum divided by their number

5. Measures of Central Tendency
MERITS OF THE USE OF MEAN
It is easy to understand
It is easy to calculate
It utilizes entire data in the group
It provides a good comparison
It is rigidly defined

6. Measures of Central Tendency
Limitations
In the absence of actual data it can mislead
Abnormal difference between the highest and the lowest score would lead to fallacious conclusions
A mean sometimes gives such results as appear almost absurd. e.g children
Its value cannot be determined graphically

7. Measures of Central Tendency
Steps in Constructing Frequency Distribution Table
1. Range = Highest Score – Lowest Score
2. Class Width =

8. Scores of 80 students 49 48 44 47 46 40 43 42 41 36 37 38 39 32 33 34 35 28 29 30 25 24 26 27 20 21 22 23 16 17 19 12 13 14 15 8 9 10 7 49 48 44 47 46 40 43 42 41 36 37 38 39 32 33 34 35 28 29 30 25 24 26 27 20 21 22 23 16 17 19 12 13 14 15 8 9 10 7

9. Frequency Distribution
CLASS INTERVALS ( CI )
FREQUENCY ( F ) n 80
48 – 51 n 80
44 – 47 80
40 – 43 80
36 – 39 80
32 – 35 n 80
28 – 31 80
24 – 27 80
20 – 23 80
16 – 19 n 80
12 – 15 80
8 – 11 n 80
4 – 7 n 80

10. Frequency Distribution
CLASS INTERVALS ( CI )
FREQUENCY ( F ) n 80
48 – 51 2 n 80
44 – 47 5
40 – 43 7 80
36 – 39 10 80
32 – 35 11 n 80
28 – 31 10 80
24 – 27 8 80
20 – 23 9 80
16 – 19 4 n 80
12 – 15 5 80
8 – 11 6 n 80
4 – 7 3 n 80

11. Chona S. Cupino TEACHER II
Calculation
for Mean
Chona S. Cupino TEACHER II
Amadeo National High School

12. Calculation of Arithmetic Mean For Group Data Assume mean Method:
Mean = AM +

13. Measures of Central Tendency
Calculation of Arithmetic Mean For Group Data
X = midpoint
AM = Assumed Mean
i = Class Interval size
fd = Product of the frequency and the corresponding deviation

14. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80

15. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52
44 – 47 5 78
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
44 – 47 5 78
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8
20 – 23 9
16 – 19 4
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total 80
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2
44 – 47 5
40 – 43 7
36 – 39 10
32 – 35 11
28 – 31
24 – 27 8 9
16 – 19 4
12 – 15
8 – 11 6
4 - 7 3
Total 80

16. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
17.5
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
17.5
12 – 15 14
13.5
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
17.5
12 – 15 14
13.5
8 – 11 6
9.5
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
17.5
12 – 15 14
13.5
8 – 11 6
9.5
4 - 7 3
5.5
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
44 – 47 5 78
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8 35 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total

17. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5
44 – 47 78
45.5 4
40 – 43 7 73
41.5 3
36 – 39 10 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 9 27
21.5 -2
16 – 19 18
17.5 -3
12 – 15 14
13.5 -4
8 – 11 6
9.5 -5
4 - 7
5.5 -6
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5
44 – 47 78
45.5 4
40 – 43 7 73
41.5 3
36 – 39 10 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 18
17.5
12 – 15 14
13.5
8 – 11 6
9.5
4 - 7
5.5
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5
44 – 47 5 78
45.5
40 – 43 7 73
41.5
36 – 39 10 66
37.5
32 – 35 11 56
33.5
28 – 31 45
29.5
24 – 27 8 35
25.5 9 27
21.5
16 – 19 4 18
17.5
12 – 15 14
13.5
8 – 11 6
9.5
4 - 7 3
5.5
Total

18. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5 10
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5 10
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5 10
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 9 27
21.5 -2
16 – 19 18
17.5 -3
12 – 15 14
13.5 -4
8 – 11 6
9.5 -5
4 - 7
5.5 -6
Total
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
48 – 52 2 80
49.5 5
44 – 47 78
45.5 4
40 – 43 7 73
41.5 3
36 – 39 10 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 9 27
21.5 -2
16 – 19 18
17.5 -3
12 – 15 14
13.5 -4
8 – 11 6
9.5 -5
4 - 7
5.5 -6
Total

19. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
48 – 52 2 80
49.5 5 10
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24

20. Measures of Central Tendency
Mean = AM +
(-24) 80 = 4
= 28.3

21. Jocelyn C. Espineli Teacher III
Calculation
for Median
Jocelyn C. Espineli Teacher III
Amadeo National High School

22. Measures of Central Tendency
Median
When all the observation of a variable are
arranged in either ascending or descending
order the middles observation is Median.
It divides the whole data into equal
proportion. In other words 50% observations
will be smaller than the median and 50% will
be larger than it.

23. Measures of Central Tendency
Merits of Median
Like mean, Median is simple to understand
Median is not affective by extreme items
Median never gives absurd or fallacious result
Median is specially useful in qualitative phenomena

24. Median = L +
Where,
L = exact lower limit of the Cl in which
Median lies
F = Cumulative frequency up to the lower limit of the Cl containing Median
fm = Frequency of the Cl containing median
i = Size of the class intervals

25. Class Intervals
( CI )
Frequency ( F )
<Cf
48 – 52 2 80
44 – 47 5 78
40 – 43 7 73
36 – 39 10 66
32 – 35 11 56
28 – 31 45
24 – 27 8
35F 9 27
16 – 19 4 18
12 – 15 14
8 – 11 6
4 - 7 3
Total
28 – 31 10 45
10 fm
35F

26. Measures of Central Tendency
Median = L +
Here; L = F = 35 fm =10
(40 – 35) 10 = 4 =
= 29.5

27. Variability Standard Deviation
MARILOU M. MARTIN
TEACHER - 1
IMUS NATIONAL HIGH SCHOOL

28. Variability The goal for variability is to obtain a measure
of how spread out the scores are in a
distribution.
A measure of variability usually accompanies
a measure of central tendency as basic
descriptive statistics for a set of scores.

29. Central Tendency and Variability
Central tendency describes the central point
of the distribution, and variability describes
how the scores are scattered around that
central point.
Together, central tendency and variability are
the two primary values that are used to
describe a distribution of scores.

30. Variability Variability serves both as a descriptive
measure and as an important component
of most inferential statistics.
As a descriptive statistic, variability
measures the degree to which the scores
are spread out or clustered together in a
distribution.
In the context of inferential statistics,
variability provides a measure of how
accurately any individual score or sample
represents the entire population.

31. Variability When the population variability is small, all
of the scores are clustered close together
and any individual score or sample will
necessarily provide a good representation
of the entire set.
On the other hand, when variability is large
and scores are widely spread, it is easy for
one or two extreme scores to give a
distorted picture of the general population.

32. Measuring Variability
Variability can be measured with
the range
the interquartile range
the standard deviation/variance.
In each case, variability is determined
by measuring distance.

33. The Standard Deviation
Standard deviation measures the
standard distance between a score
and the mean.
The calculation of standard deviation
can be summarized as a four-step
process:

34. The Standard Deviation Table
Compute the deviation
(distance from the mean) for
each score.
Solve for the product of
frequency and deviation and
solve for the total frequency
deviation.

35. The Standard Deviation
Compute for the sum of the product of frequency deviation square.(fd’²)

36. Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
(fd’²)
48 – 52 2 80
49.5 5 10 50
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21 63
36 – 39 66
37.5 40
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18 36
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
150
4 - 7
5.5 -6
108
Total
-24
662
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
(fd’)²
48 – 52 2 80
49.5 5 10 50
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21 63
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
(fd’)²
48 – 52 2 80
49.5 5 10 50
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
(fd’)²
48 – 52 2 80
49.5 5 10 50
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24
Class Intervals
( CI )
Frequency ( F )
<Cf
Mdpt d’
fd’
(fd’)²
48 – 52 2 80
49.5 5 10
44 – 47 78
45.5 4 20
40 – 43 7 73
41.5 3 21
36 – 39 66
37.5
32 – 35 11 56
33.5 1
28 – 31 45
29.5
24 – 27 8 35
25.5 -1 -8 9 27
21.5 -2
-18
16 – 19 18
17.5 -3
-12
12 – 15 14
13.5 -4
-20
8 – 11 6
9.5 -5
-30
4 - 7
5.5 -6
Total
-24

37. The Standard Deviation Formula
SD =
SD =
SD = 4 ( 2.879) =

38. Means Percentage Score
SHIRLEY PEL – PASCUAL
Master Teacher – I
GOV. FERRER MEMORIAL NATIONAL HIGH SCHOOL

39. How to Convert a Mean Score to a Percentage
Mean scores are used to determine
the average performances of
students or athletes, and in various
other applications.
Mean scores can be converted to
percentages that indicate the
average percentage of the score
relative to the total score.

40. How to Convert a Mean Score to a Percentage
Mean scores can also be converted to
percentages to show the performance
of a score relative to a specific score.
For instance, a mean score can be
compared to the highest score with a
percentage for a better comparison.
Percentages can be useful means of
statistical analysis.

42. How to Convert a Mean Score to a Percentage
Instructions
Find the mean score if not already determined.
The mean score can be determined by adding
up all the scores and dividing it by "n," the
number of scores.

43. How to Convert a Mean Score to a Percentage
Instructions
2 Determine the score that you want to compare the mean score to. You may compare the mean score with the highest possible score, the highest score, or a specific score.

44. How to Convert a Mean Score to a Percentage
Instructions
3. Divide the mean score by the score you decided to use in step 2.

45. How to Convert a Mean Score to a Percentage
Instructions
4. Multiply the decimal you obtain in
step 3 by 100, and add a % sign to
obtain the percentage. You may
choose to round the percentage to
the nearest whole number.