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 ! " $

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    UPSR Result

    Number of As

    Frequency

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    Histograms "#$

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    Polygons

    1 0 # 9 8 3 A B

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    3

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    #3

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    1 0 # 9 8 3 A B @ <

    1

    3

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    03

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    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

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    2tudentsC Favourite 2ub7ect

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       *  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