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It is believed that the percentage of people who support candidate A is 56%. A sample of size 100 indicated that 40 people support candidate A. Is there evidence at an alpha level of 10% to conclude that the percentage of people who support candidate A has changed?

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Given data:

Sample size
=100

Sample proportion of people support candidate A:


p=(40)/(100)=0.40

Population proportion of people support Candidate A :


P=(56)/(100)=0.56

Check the condition:
nP>10 and
n(1-P)>10.


nP=100*0.40=40>10


n(1-P)=100*0.60=60>10

Null Hyposthesis:
H_0: P=0.56

Alternative Hypothesis:
H_\alpha :P\\eq 0.40

The test statistics:


z=\frac{p-P}{\sqrt{(P(1-P))/(n)}}

Plug in p=0.56, P=0.40 and n=100 in the above formula,


z=\frac{0.56-0.40}{\sqrt{(0.40(1-0.40))/(100)}}


z=\frac{0.56-0.40}{\sqrt{(0.40(1-0.40))/(100)}}=3.2659

The table value of z at 10% of significance level is 1.28

Table value is less than the calculated value.

Hence
H_0 is rejected at 10% level.

Therefore there is the evidence at an alpha level of 10% to conclude that the percentage of people who support candidate A has changed.

User Simon Ludwig
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