SOLUTION:
From given data,
We test this with chi-square goodness of fit test.
Null hypothesis :
: True proportions in all 3 categories is equal to their claimed
value. that is
= 0.5 ,
= 0.25 ,
= 0.25
Alternative hypothesis :
: Alternative one proportions is different from its claimed
value.
Atleast one
do not matched the claimed value.
Expected fraction(p) | Observed (O) | Expected (E = n*p) | (O-E)^2 /E |
0.5 | 110 | 100 | 1 |
0.25 | 50 | 50 | 0 |
0.25 | 40 | 50 | 2 |
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Value of chi-square:
=
(O-E)^2 /E
= 1+0+2
= 3
Decision Rule :
Significance level = 0.1
Degree of freedom = df = k-1 = 3-1 = 2
Critical value =
= 4.605
Decision Rule : Reject
if
> 4.605
Decision Regarding
?
Test statistic is not greater than critical value ,We fail to reject null hypothesis .At 10% level,there is NOT significance evidence that atleast one of the proportions differs from its claimed value.
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