It is classified as convex or
non – convex.
Quadrilateral
It has two pairs of opposite
sides that are parallel and
congruent.
Parallelogram
Parallelogram with four
right angles.
Rectangle
two angles with common
sides
Consecutive angles
It is a type of parallelogram
with four congruent sides
and four right angles.
Square
Kinds of quadrilateral having
one pair of parallel sides.
Trapezoid
Parallelogram with four equal
sides.
Rhombus
Refers to numerical observation of
any kind, as a branch of
mathematics, it deals with the
collection, analysis, presentation,
and interpretation of data.
Statistics
Involves the collection,
organization, and presentation of
data and the summary of important
values that describe data.
Descriptive Statistics
A statement or theory subjected to
a test is called a data.
Hypothesis
It refers to the entire group of
individual objects or items. It
is usually denoted by n.
Sample
This is a method in
which behaviour is
observed, recorded,
and st
Observation method
This method is easy to
do but the preparation
takes times.
Questionnaire method
Refer to any quantitative
or qualitative facts or
information.
Data
It refers to characteristics or
categories which cannot be subjected
to mathematical operations and are
normally expressed using ordinary
descriptive language.
Qualitative Data
It refers to variables
which can be found by
counting.
Discrete Variable
It is the midpoint or the
middle value in a class.
Class Mark (CM)
It is the difference
between the upper class
boundary and the lower
class boundary.
Class size (i)
It is the number of times
a score appears in a
distribution.
Frequency
It refers to any specific
characteristics or
attribute that describes a
population or a sample.
Variables
It refers to a variable which can
occupy any value over a given
range. It can obtain by
measuring quantities.
Continuous Variable
It is the difference between the
highest number and the lowest
number in a given set of data.
Range (R)
It is any of the groups or
categories in a frequency
distribution table where each
of the data belongs.
Class or Class Interval
It is used to organize and
present numerical
information.
Statistical Table
It is used to organize and
present numerical
information.
Statistical Table
Using the frequency distribution table above,
determine the following:
Scores of 50 students in a Mathematics test
25 – 27 10
22 – 24 6
19 – 21 18
16 -18 11
13 – 15 5
Using the frequency distribution
table, determine the following:
Scores of 50 students in a
Mathematics test
25 – 27 10
22 – 24 6
19 – 21 18
16 -18 11
13 – 15 5
The size of each class interval 3
The total frequency 50
The lowest class 13-15
The highest class 25-27
The class with the highest frequency 19-21
Using the frequency distribution
table, determine the following:
Scores of 50 students in a
Mathematics test
25 – 27 10
22 – 24 6
19 – 21 18
16 -18 11
13 – 15 5
The class with the lowest frequency 13-15
The upper boundary of the highest class 27.5
The lower boundary of the lowest class 12.5
The class mark of the highest class 26
The class mark of the 2
nd
lowest class 17
Using the frequency distribution table above,
determine the following:
Scores of 50 students in a Mathematics test
25 – 27 11
22 – 24 7
19 – 21 19
16 -18 12
13 – 15 6
Using the frequency distribution
table, determine the following:
The size of each class interval 3
The total frequency 55
The lowest class 13-15
The highest class 25-27
The class with the highest frequency 19-21
Scores of 50 students in
a Mathematics test
25 – 27 11
22 – 24 7
19 – 21 19
16 -18 12
13 – 15 6
Using the frequency distribution
table, determine the following:
The class with the lowest frequency 13-15
The upper boundary of the highest class 27.5
The lower boundary of the lowest class 12.5
The class mark of the highest class 26
The class mark of the 2
nd
lowest class 17
Scores of 50 students in
a Mathematics test
25 – 27 11
22 – 24 7
19 – 21 19
16 -18 12
13 – 15 6