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Q4 Week 1

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Measures of Position

(Ungrouped Data)
Week 1, Quarter 4!
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Attendance Check
Type in the chatbox what superpower you
want to possess and why.
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Objectives
At the end of this lesson, the students
must be able to:
⊸ Differentiate percentiles from deciles and
quartiles; and
⊸ Calculate for specific measures of position
given ungrouped data
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MELCS
The most essential learning competencies
of the week are:
⊸ Illustrates the measures of position
⊸ Calculate a specific measure of position
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What are the


measures of position?
Let’s define!
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Measures of position tell


where a specific data value
falls within the data set or its
relative position in
comparison with other data
values.
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QUARTILES
⊸ Score points that divide a distribution
into four equal parts
⊸ 25% of the distribution is below the
FIRST QUARTILE (Q1)
⊸ 50% of the distribution is below the
SECOND QUARTILE (Q2), which is also
the MEDIAN
⊸ 75% of the distribution is below the
THIRD QUARTILE (Q3)
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QUARTILES

Q1 Q2 Q3

Q3 – Q1 is called the interquartile range


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DECILES
⊸ Score points that divide a distribution
into 10 equal parts
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PERCENTILES
⊸ Score points that divide a distribution
into 100 equal parts
⊸ The 10th percentile separates the
lowest 10% from the other 90%
⊸ By definition, P25 = Q1, P50 = Q2 and
P75 = Q3
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QUARTILES

Remember, if the answer is a decimal, you need to


round it off to the nearest integer.
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EXAMPLE:
⊸ Last month, Dr. Cho recorded the
number of patients who recovered
from COVID-19 for 11 consecutive
days. The results were 10, 8, 5, 9, 16,
13, 11, 4, 9, 3, 10.

⊸ Find the quartiles.


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EXAMPLE:
⊸ We will use the Mendenhall and
Sincich (M&S) Method. First, arrange
the data into ascending order.
3, 4, 5, 8, 9, 9, 10, 10, 11, 13, 16

⊸ Identify the median, and n


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EXAMPLE:
⊸ Use the formulas:
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EXAMPLE #2:
⊸ Given this data set {5, 9, 15, 11, 13, 18,
15, 8, 17, 16, 20, 7, 4}, find the
quartiles.

⊸ In ascending order, this is


4, 5, 7, 8, 9, 11, 13, 15, 15, 16, 17, 18, 20

⊸ The median is and n =


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EXAMPLE #2:
⊸ Using the data and the formulas, we get
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EXAMPLE #2:
⊸ Because Q1 is a decimal, we need to do
LINEAR INTERPOLATION.
⊸ 4, 5, 7, 8, 9, 11, 13, 15, 15, 16, 17, 18, 20
1. Because Q1 = 3.5, we need the 3rd and
4th values

2. Subtract
3. Multiply by the decimal that we got
(0.5)
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EXAMPLE #2:
4. Add this to the 3rd value/smaller number

The value of Q1 =

This means 25% of the data has the value


and below
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DECILES!
Let’s define!
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DECILES

⊸ Formula
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EXAMPLE #1
⊸ Given this set of data {9, 14, 17, 15, 10,
11, 19, 10, 8, 7, 15}, find the 4th and 7th
decile.

⊸ In ascending order, the results are:


7, 8, 9, 10, 10, 11, 14, 15, 15, 17, 19
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EXAMPLE #1
⊸ 7, 8, 9, 10, 10, 11, 14, 15, 15, 17, 19
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EXAMPLE #1
⊸ 7, 8, 9, 10, 10, 11, 14, 15, 15, 17, 19
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PERCENTILES!
Let’s define!
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PERCENTILES

⊸ Formula
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EXAMPLE #1
⊸ Students from 10-Topaz have the following
grades for Math this quarter: {85, 84, 87,
89, 75, 78, 89, 90, 92, 80, 77, 81, 86, 85, 88},
find the 30th and the 85th percentile.

⊸ In ascending order, the results are:


75, 77, 78, 80, 81, 84, 85,85, 86, 87, 88, 89,
89, 90, 92
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EXAMPLE #1
⊸ 30th percentile (using M&S method)
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EXAMPLE #1
⊸ 85th percentile (using Interpolation)

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