1. Republic of the Philippines
MINDANAO STATE UNIVERSITY
COLLEGE OF EDUCATION
Fatima, General Santos City
Module 5: Education Statistics
Lesson 5: Measures of Variability and
Correlation: Measures of Correlation
Presented to:
Dr. Ava Clare Marie O. Robles
Class Schedule: MTh / 1:00-2:30
Presented by:
Abbygale Jade P. Delos Reyes
3. Pearson’s Product-
Moment Correlation
• This measure of relation is used
when factors to be correlated are
both metric data. By metric data
are meant measurements, which
can be subjected to the four
fundamental operations.
Conception, Benjamin.et.al. (2016). LET Reviewer: MET Review Center, Manila.
4. 1. Compute the sum of each set of scores
(SX, SY).
2. Square each score and sum the square
(SX2, SY2).
3. Count the number of paired
observations (N).
4. Multiply each X score by its
corresponding Y score.
5. Sum the score products X and Y (SXY).
6. Calculate the correlation.
Conception, Benjamin.et.al. (2016). LET Reviewer: MET Review Center, Manila.
5. r =
𝑁 ∑𝑋𝑌 − ∑𝑋 ∑𝑌
𝑁 ∑𝑋2−(∑𝑋)2 𝑁 ∑𝑌2− (∑𝑌)2
Where,
N = number of paired observations
SXY = sum of the cross products of
X and Y
SX = sum of the scores under
Variable X
SY = sum of the scores under
Variable Y
(SX)2 = sum of X scores squared
(SY)2 = sum of Y scores squared
SX2 = sum of squared X scores
SY2 = sum of squared Y scores
Conception, Benjamin.et.al. (2016). LET Reviewer: MET Review Center, Manila.
7. r =
𝑁 ∑𝑋𝑌 − ∑𝑋 ∑𝑌
𝑁 ∑𝑋2−(∑𝑋)2 𝑁 ∑𝑌2− (∑𝑌)2
Given Formula:
r =
[10 81387 − 899 903 ]
10 81017 − 8992 [10 81773 − 9032 ]
r =
2073
√(1969)(2321)
This indicates a very high degree of
relationship exists between the test
scores in 1st and 2nd test.