The manager at Coca Cola also claims that less than a quarter of the cans are overfilled. In her sample of 60 cans, she finds that 10 are overfilled. Is there enough evidence that the manager is correct? Test at α = 0.05.
Set up the null and alternate hypotheses.
Compute an appropriate test statistic.
What is the p-value and what do you conclude? Explain.
1) Hypothesis -
H0: p >= 0.25
Ha: p < 0.25 (left tailed)
2) Test statistics -
Sample proportion = 10 / 60 = 0.1667
z = - p / sqrt(p( 1 - p) / n)
= 0.1667 - 0.25 / sqrt(0.25*0.75/60)
= -1.49
This is test statistics value.
3) p-value -
p-value = P( Z < z)
= P( Z < -1.49)
= 1 - P( Z < 1.49)
= 1 - 0.9319
= 0.0681
Since p-value > 0.05 significance level , we do not have sufficient evidence to reject H0.
We conclude at 0.05 significance level that, we fail to support the claim that less than a quarter
of the cans are overfiilled.
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