Given data:
Sample size [tex] =100 [/tex]
Sample proportion of people support candidate A:
[tex] p=\frac{40}{100}=0.40 [/tex]
Population proportion of people support Candidate A :
[tex] P=\frac{56}{100}=0.56 [/tex]
Check the condition: [tex] nP>10 [/tex] and [tex] n(1-P)>10. [/tex]
[tex] nP=100*0.40=40>10 [/tex]
[tex] n(1-P)=100*0.60=60>10 [/tex]
Null Hyposthesis: [tex] H_0: P=0.56 [/tex]
Alternative Hypothesis: [tex] H_\alpha :P\neq 0.40 [/tex]
The test statistics:
[tex] z=\frac{p-P}{\sqrt{\frac{P(1-P)}{n}}} [/tex]
Plug in p=0.56, P=0.40 and n=100 in the above formula,
[tex] z=\frac{0.56-0.40}{\sqrt{\frac{0.40(1-0.40)}{100}}} [/tex]
[tex] z=\frac{0.56-0.40}{\sqrt{\frac{0.40(1-0.40)}{100}}}=3.2659 [/tex]
The table value of z at 10% of significance level is 1.28
Table value is less than the calculated value.
Hence [tex] H_0 [/tex] 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.