1. Application of Mean, Median, Mode :
Measures of central tendency such as
the mean, median and mode are all used
to help analyze a set data. They have a wide range
of real-life applications. One practical use of which
is in the field of classroom assessment.
4. Application of Mean, Median, Mode :
Interpretation:
Mean is simply the average of all the scores.
A higher mean indicates a better performance in the
exam. Since 15.74 > 13.60, we can say that Section A
performs better than Section B.
Note: Since all values are considered in computing the
mean, outliers will affect its resulting value.
5. Application of Mean, Median, Mode :
Computation of MEDIAN:
If 𝑛 is odd, 𝑀𝑑 =
𝑛+1
2
𝑡ℎ 𝑣𝑎𝑙𝑢𝑒
If 𝑛 is even, 𝑀𝑑 =
𝑛
2
𝑡ℎ 𝑣𝑎𝑙𝑢𝑒 +
𝑛
2
+1 𝑡ℎ 𝑣𝑎𝑙𝑢𝑒
2
Section A 𝑀𝑑 =
39+1
2
𝑡ℎ 𝑣𝑎𝑙𝑢𝑒 = 20𝑡ℎ 𝑣𝑎𝑙𝑢𝑒 = 𝟏𝟔
Section B 𝑀𝑑 =
20𝑡ℎ + 21𝑠𝑡
2
=
14 +14
2
= 14
6. Application of Mean, Median, Mode :
Interpretation:
Median is the middle point of the scores when listed in
descending order. This indicates that half of the scores
are above the median and half are below the median.
A higher median indicates a better performance in the
exam. Since 16 > 14, we can say that Section A
performs better than Section B.
7. Application of Mean, Median, Mode :
Computation of MODE:
𝑀𝑜 = 𝑚𝑜𝑠𝑡 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑡 𝑣𝑎𝑙𝑢𝑒
Section A 𝑀𝑜 = 𝟏𝟗 𝑎𝑛𝑑 𝟏𝟖 (bimodal)
Section B 𝑀𝑑 = 𝟏𝟕, 𝟏𝟔 𝑎𝑛𝑑 𝟏𝟒 (multimodal)
8. Application of Mean, Median, Mode :
Interpretation:
Mode is the value(s) that occur most often.
In the example, this represents the score that was
obtained the most by the students.
A higher mode may also mean a better performance.
Editor's Notes
Since the mean is the arithmetic average, we simply add all the scores and then divide the sum by the number of scores.
Before computing the median, we make sure first that the scores are arranged from either least to greatest or greatest to least. Since the number of scores is 40 which is an even number, there is no exact middle value, thus, we take the two middle values, the 20th and 21st, and get their average.
Mode can be unique (unimodal) or not (multimodal). It is also possible that there is NO mode. It happens when there is no data value that occur most frequently. (ie, all data have the same frequency)