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8/20/2019 Chap 2 Frequency Distribution
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Topic 2 : FrequencyDistribution
Associate Professor Dr. Zaleha Binti IsmailSiti Nurashiken Binti Md. Sabudin
Statistic for EducationalResearch
MPU1!"
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Regular frequency distributionGrouped FrequencyDistributions
HistogramPolygons
InterpolationPercentile rank
Percentile
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Frequency Distributions
●Descriptive statistical techniques should be
performed by the researcher after collectingdata to organize the data in order to get ageneral picture of the results
● ! frequency distribution is a method fororganizing the data
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Frequency Distributions "#$●Frequency distribution is a summary of
data that sho%s frequency or numbersaccording to the scale of measurement● ! frequency distribution is the distributionof values that provide an overvie% of the
sample
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Frequency Distribution &ables●&he table has t%o columns'Column X represent list of categories on a scale
of measurement "($
● )olumn Y to represent the numbers of frequencyof each (
●&he sum of the frequencies should be equal to *+sample size
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Frequency Distribution &ables "#$
●,ther columns can be added-●&he third column represent the proportion "p$
for each category' p . f/* &he sum of the pcolumn must be equal to 011●&he fourth column represent percentage
distribution that correspond to each value of (&he percentage is obtained by multiplying p by011 &he total percentage is 011
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Regular Frequency Distribution
! regular frequency distribution table listall the ( values
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Grouped Frequency Distribution●2ometimes the set of score has a long listof ( values + so it should be simplified by
using a grouped frequency distribution table●In this table+ ( column called as classintervals+ not individual values
●)lass intervals should be in the samerange such as #+ 3+ 01 and etc
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Frequency Distribution Graphs
● ! frequency distribution graph have scorecategories "( values$ on the ( a4is and the
frequencies on the 5 a4is●&he shape of graph depend on the scorecategories● 6hen the scores are of an interval or ratio
scale+ the graph %ill be a histogram or apolygon
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Histograms
! histogram consists of tabularfrequencies+ sho%n as ad7acent rectangles+
erected %ith an area equal to the frequencyof the observations in the interval &heheight of a rectangle is also equal to thefrequency density of the interval &he totalarea of the histogram is equal to the numberof data
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1 2 ! " $
$
1
1$
2
2$
UPSR Result
Number of As
Frequency
( f
3 0#
8 01
9 #1
# 03
0 0#
00 : 08 03;0< #1;#8 #3;#< 91;98 93;9< 81;88
1
3
01
03
#1
#3
!ge of 2tudents in !=> ?ath )lass
!ge
* o o d
2 t u d e n t s
( f
81;88 8
93;9< @
91;98 01
#3;#< #1
#1;#8 03
03;0< 09
Histograms "#$
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Polygons
1 0 # 9 8 3 A B
1
3
01
03
#1
#3
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1 0 # 9 8 3 A B @ <
1
3
01
03
#1
#3
Polygons "#$
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=ar graphs
6hen the scores are measured nominal or
an ordinal scale+ the bar graph is used torepresent frequency distribution
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=ar graphs "#$
?athematics 2cience >nglish !rts
1
#
8
A
@
01
0#
2tudentsC Favourite 2ub7ect
2ub7ect
* o o f 2 t u d e n t s
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Relatif frequency is appropriate to dispalyfrequency distribution for large population
Relative frequency
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Relative frequency "#$
Graduated *on; Graduated
&eachersC Population
ualification
* o
o f t e a c h e r s
C 1 1 1
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2mooth curve
1 01 #1 91 81 31 33 A1 B1 @1
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2mooth curve
Symmetrical Distribution
Skewed Distribution
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Percentiles and Percentile Ranks+
and Interpolation●&he relative location of score can beidentified by percentiles and percentile
ranks●&he percentile rank for a score is thepercentage of individual %ith scores equal to
or less than the score●&he particular score is referred as apercentile
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)lass Frequency )umulative Frequency )umulative E
!rif 83 83 ##3E
=estari 81 @3 8#3E
)emerlang 9@ 0#9 A03E
Dinamik 81 0A9 @03E
>lit 9B #11 011E
Percentiles and Percentile Ranks+and Interpolation
What is the !th "ercentile#
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Percentiles and Percentile Ranks+and Interpolation "#$
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Percentiles and Percentile Ranks+and Interpolation