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  • 8/14/2019 Exercises on Significance Z

    1/5

    Solution:

    sample-1 (n1= 100 ) (p1= 20 ) (q1= 80 )

    sample-2 (n2= 100 ) (p2= 30 ) (q2= 70 )

    Ho:

    =SQRT OF

    2SE (p1-p2)= 12.16552506

    As the Difference of the Two proportion is less than 2SE,

    there is no statitical significance at 5% level

    There is no evidence that the two sample Typoid

    Mortality Rates are different from each other.

    Null Hypothesis : There is no Difference between the Twosample proportions.

    (37)= 6.08276253

    10Difference of Two Proportions=

    Inference:

    Exercise-1

    The Typhoid Mortality of on sample of 100 is 20 % and in

    another sample of 100 is 30 %. Is the difference in

    moratality rate significance?

    Standard Error of (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    SE (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    p1=p2

    =,*(p1=20)X(q1=80)/(n1=100)+*(p2=30)X(q2=70)/(n2=1

  • 8/14/2019 Exercises on Significance Z

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    Solution:

    p in %

    sample-1 46

    sample-2 22

    sample-1 (n1= 50 ) (p1= 46 ) (q1= 54 )

    sample-2 (n2= 350 ) (p2= 22 ) (q2= 78 )

    Ho:

    =

    There is Statistical evidence to show that the two Schools A & B are

    different in the prevalence of Tonsilities.

    q in %

    54

    78

    No. of Tonsilectomy

    23

    77

    24As the Difference of the Two proportion is more than 2SE, there is

    statistical significance at 5% level.

    Difference of Two Proportions=

    2SE= 14.7760424

    Inference:

    =SQRT OF (54.5829)= 7.3880212

    Size of sample

    50

    350

    Table-1 Showing the No. Tonsilectomy cases & calculated Ps& qsin %

    Table-2 Showing the calculated Ps& qsin %

    In school -A, tonsilectomy was done in 23 students out of 50while in

    another school B it was done in 77 out of . Find out whether the

    difference between the two Tonsilectomy proportions is significance?

    p1=p2

    Null Hypothesis : There is no Difference between the Two sample

    proportions.

    Standard Error of (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    SE (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    {[(p1=46)X(q1=54)/(n1=50)]+[(p2=22)X(q2=78)/(n2=350)]}

  • 8/14/2019 Exercises on Significance Z

    3/5

    Solution:

    p in %

    sample-1 50

    sample-2 61.4286

    sample-1 (n1= 50 ) (p1= 50 ) (q1= 50

    sample-2 (n2= 350 ) (p2= 61.429 ) (q2= 38.6Ho:

    =

    =SQRT OF

    Size of sample No. of Students with

    Whooping Cough

    q in

    50 25 5

    Table-1 Showing the No. of Students with Whooping Cough & calculated Ps& qsin

    (56.7697)= 7.53457

    350 215 38.5

    p1=p2

    Null Hypothesis : There is no Difference between the Two sample

    proportions.

    Standard Error of (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    Table-2 Showing the calculated Ps& qsin %

    15.069131022SE(p1-p2)=

    Exercise-3

    As the Difference of the Two proportion is less than 2SE, there is no

    statistical significance at 5% level.

    There is no Statistical evidence that the two Schools A & B are dif

    in the prevalence of Whooping Cough. ie. Similar staus quo i

    prevalence of Whooing Cough between the Two Schools A & B.

    Inference:

    Difference of Two Proportions= 11.4286

    SE (p1-p2)=SQRT of [(p1Xq1)/n1+(p2Xq2)/n2]

    In school -A , there is Whooping Cough in 25 students out of 50 while the sc

    B, there is Whooping Cough in 215 out of 350. Is the Difference of the Preval

    of Whooping Cough between the Two Schools A & B , Statistically Significant

    {[(p1=50)X(q1=50)/(n1=50)]+[(p2=61.4286)X(q2=38.5714)/(n2=350)]}

  • 8/14/2019 Exercises on Significance Z

    4/5

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  • 8/14/2019 Exercises on Significance Z

    5/5

    Solution:sample-1 (n1= 100 ) (p1= 20 ) (q1= 80 )

    sample-2 (n2= 100 ) (p2= 30 ) (q2= 70 )

    Ho:

    sample-1

    sample-2

    Total

    sample-1

    sample-2

    Total

    2=

    =

    =

    =

    =

    Inference: There is no Statistical Siginificance between the Two Samples in the

    'Typoid -Effect'

    The 5% Tabular 2 Value with 1 Degrees of Freedom=3.84

    As the Calculated Chi-Square Value=1.3333 which is Less thanThe 5% Tabular 2

    Value with 1 Degrees of Freedom=3.84 , the Null Hypothesis is Accepted

    The Test Statistic is Chi-Square.

    (O-E)2/E [Wheras, O= Observed cell value & E=Expected Cell Value]

    1.3333

    (20-25)^2/25+(80-75)^2/75+(30-25)^2/25+(70-75)^2/75

    (25/25)+(25/75)+(25/25)+(25/75)

    1+0.3333+0+0

    50 150 200

    200

    No. of Typoid Deaths No. of cases without the

    Deaths due to Typoid

    20

    30

    50 150

    The Expected Cell11Value=(First Row Total X First Column Total)/N

    No. of Typoid Deaths No. of cases without the

    Deaths due to Typoid

    Total No. of

    Typoid Cases

    Expected Cell Frequencies in 2x2 Contingency Table:

    The Expected Cell12Value=(First Row Total X Secont Column Total)/N

    Exercise-4

    The Typhoid Mortality of on sample of 100 is 20 % and in another sample of 100 is 30 %.

    Is the 'Typoid - effect' between the two Samples significantly different?

    Let us form the 2X 2 contingency Table for the Two Samples vs Typoid Deaths & No

    Death with the Typoid

    80

    70

    Observed Cell Frequencies in the 2x2 Contingency Table:

    There is no siginificant difference between the Two Samples in quantityterms

    Total No. of

    Typoid Cases

    100

    100

    25 75 100

    The Expected Cell22Value=(Second Row Total X Second Column Total)/N

    The Expected Cell21Value=(Second Row Total X First Column Total)/N

    25 75 100