exercises on significance z
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8/14/2019 Exercises on Significance Z
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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
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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)]}
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8/14/2019 Exercises on Significance Z
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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)]}
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8/14/2019 Exercises on Significance Z
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8/14/2019 Exercises on Significance Z
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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