Median Test

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    MAKING INFERENCESABOUT THE

    DIFFERENCE BETWEENTWO LOCATIONPARAMETERS BY

    MEDIAN TEST

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    Learning Outcome

    Student should be able to make

    inferences about the differencebetween two location by using

    Median Test.

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    MEDIAN TEST

    The simplest and most widely proceduresfor testing the null hypothesis of twopopulations that have the same median.

    Only two-sided alternatives will bediscussed.

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    Assumptions for Median Test1) The data consist of two independent random

    samples : X1, X2, X3, ..., X n, and Y1, Y2, Y3, ..., Y n2) The first sample is from a population withunknown median, MX and the second sample isfrom a population with unknown median, MY.

    3) The measurement scale employed is at leastordinal.4) The variable of interest is continuous.5) The two populations have the same shape.

    6) If the two populations have the same median,then for each population the probability p is thesame that an observed value will exceed thegrand median.

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    Hypotheses for Median Test

    H0 : MX = MYH1 : MX MY

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    Step 1:State the hypothesis:H0: MX=MY

    H1: MXMY

    Step 2:Find the grand median from the sample values.

    Step 3 :Classify each sample observation according to twocriteria:whether it belongs to sample X or sample Ywhether it is above or below the computed sample

    median

    Step 4 :Draw the contingency table.

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    SAMPLE

    RELATION ON

    THE SAMPLE

    X Y TOTAL

    ABOVE A B A+B

    BELOW C D C+D

    n1 = A+C n2 = B+D N=n1+n2

    Where,A : The number of observations from sample X falling above the medianB : The number of observations from sample Y falling above the medianC : The number of observations from sample X falling below the medianD : The number of observations from sample Y falling below the median

    CONTINGENCY TABLE

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    TABLE 3.2Stroke-index values, milliliters, for patients admitted to themyocardial-infarction research unit of a university hospital

    Diagnosis

    Anterior transmusal infarction and anteriornecrosis(X)

    Interior transmuralinfarction and interiornecrosis (Y)

    25 13 9 46 31 43

    25 30 17 20 21 42

    17 20 37 25 38 30

    26 23 20 17 19 20

    18 26 11 36 38 29

    30 12 32 54 41 1324 20 16 8 68 32

    21 37 31 26 28 30

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    Step 1:

    Classify the sample observation as sampleX and Y.Anterior transmural infarction and anterior necrosis assample X

    Interior transmural infarction and interior necrosis assample Y

    H0:MX = MY

    H1:MX MY (claim)

    Assumption:This data consists of two independent random samples Xand Y.

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    Step 4: Draw the contingency table.

    Relationship to

    25.5

    Anterior

    transmural

    infarction and

    anterior

    necrosis

    Inferior

    transmural

    infarction and

    interior

    necrosis

    Total

    Above 12 12 24

    Below 20 4 24

    Total 32 16 48

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    Step 6: Making decision.

    We are using standard normal distributionand the critical value are 1.96. Since -2.45are in the critical region, so we reject the null

    hypotheses.

    By using P-value method we get:

    2(0.5 - 0.4929) = 0.0142

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    Step 7: Conclusion.

    Since werejectthe null hypothesis, wehave enough evidence tosupportthe claimthat the two population medians are not

    equal.

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