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Angela Olaes
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Cards (21)
Measures of Central Tendency
Described and obtained after
summarizing
into measurements like
average
or measures of
central tendency
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Central Tendency
A statistical measure to determine a
single
score that defines the center of a distribution. The goal of central is to find the single score that is
most typical
or
most representative
of the entire group
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Three Major Types of Central Tendency
Mean
Median
Mode
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Mean
The
mean
or
arithmetic mean
is the arithmetic average of a set of observations
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Calculating Mean (Ungrouped Data)
Sum
of
all values
divided by the
total frequency
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Weighted Mean
A
mean
calculated by giving different
weights
to different
values
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Calculating Weighted Mean
Sum
of (each of the item values x
weight
of each item) divided by
sum
of
weights
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Midpoint Method
A method to calculate
mean
from grouped data using the
midpoint
of each class interval
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Unit Deviation Method
A method to calculate mean from grouped data using the unit deviation from an assumed mean
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Class Interval
70-75
76-81
82-87
88-93
94-99
100-105
106-111
112-117
118-123
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Frequency (f)
2
7
20
21
39
27
14
10
5
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Cumulative Frequency (cf)
2
9
29
50
89
116
130
140
145
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Calculating Median (Grouped Data)
1. Get the
Median Class
2. Determine cfb
3. Determine the
lower boundary
of the median class
4.
Frequency
of median class
5. Class Size
6. Median =
Xlb
+ (
n/2
- cfb)/
fm
*
c
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Median
Single
value from the data set that measures the
central
item in the data
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The frequency distribution of the test results of
100 BS
Math Students in
Statistical Analysis
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Class Interval
15-24
25-34
35-44
45-54
55-64
65-74
75-84
85-94
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Frequency (f)
5
10
11
23
26
14
8
3
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Cumulative Frequency (cf)
5
15
26
49
75
89
97
100
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Mode
Observation
or
value
which
appears
the most number of times in the
set
of
values
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The results of the IQ test of a group of Psychology students in certain college are presented in a
frequency distribution
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Calculating Mode (Grouped Data)
1. Find the
modal class
2. Determine the
class
size
3. Get the
fm1
and
fm2
4.
Mode
=
Xlb
+ (
fm1
/ (
fm1
+
fm2
))
*
c
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