The school registrar estimates that the dropout rate of freshmen high schools in Mindanao
is 20%. Last year, 45 freshmen from a random sample of 250 Mindanao freshmen high
school withdrew. At 𝛼 = 0.01, is there enough evidence to reject the registrar’s claim?
Hypotheses
H0: p=0.2
Ha: p≠0.2
α = 0.01
Test statistic
 To use the Z score statistic for testing proportions, the condition that min(n*p, n*p(1-p))≥5 must be satisfied.
Given n=250 and p=0.2
min(250*0.2, 250*0.2*0.8) = min(50, 40) = 40
Since the condition is met, the Z test statistic is the appropriate test statistic for testing the hypothesis and is given by:
z = "\\frac{p\u0302 - p}{\\sqrt{p(1-p)\/n}}"
where:
p̂ = sample proportion, p = hypothesized population proportion
n = sample size
Decision rule
From the Z normal distribution table, the critical value for a 99% significance level for two-tailed test is ±2.58. Therefore, we reject the null hypothesis if the computed test statistic Z ≤ -2.58 (lower critical region) or if Z ≥ 2.58 (upper critical region)
Computed test statistic
Let x be the number of freshmen in high school who drop out
Given that 45 out of 250 dropped out, then
Then x = 45 and sample size n=250
Then,
p̂ = x/n = 45/250 = 0.18
and p=0.8
Therefore
z ="\\frac{p\u0302 - p}{\\sqrt{p(1-p)\/n}}"
= "\\frac{0.18 - 0.2}{\\sqrt{0.2(0.8)\/250}}"
= -0.79
Decision
Since the computed test statistic Z= -0.79 > -2.58, we fail to reject the null hypothesis.
Conclusion
At 1% level of significance, there is insufficient evidence to reject the registrar’s claim that the school dropout rate of freshmen in high schools in Mindanao is 20%.
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