Given two independent random samples with the following results:
n1=462 p^1=0.24 n2=599=0.41 p^2=0.41
Can it be concluded that the proportion found in Population 2 exceeds the proportion found in Population 1? Use a significance level of α=0.01 for the test.
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Step 2 of 5 :
Compute the weighted estimate of p, p‾p‾. Round your answer to three decimal places.
Solution:
Here, we have to use z test for population proportions.
H0: p1 = p2 versus Ha: p1 < p2
This is a lower tailed test. (Left tailed)
We are given
Level of significance = α = 0.01
n1 = 462, p̂1 = 0.24, n2 = 599, p̂2 = 0.41
p̄ = (n1p̂1 + n2p̂2) / (n1 + n2)
p̄ = (462*0.24 + 599*0.41) / (462 + 599)
p̄ = 0.335975
p̄ = 0.3360
Test statistic formula is given as below:
Z = (p̂1 - p̂2) / sqrt(p̄*(1 - p̄)*((1/n1)+(1/n2)))
Z = (0.24 – 0.41) / sqrt(0.3360*(1 - 0.3360)*((1/462)+(1/599)))
Z = -5.8127
P-value = 0.00
(by using z-table)
P-value < α = 0.01
So, we reject the null hypothesis
There is sufficient evidence to conclude that the proportion found in Population 2 exceeds the proportion found in Population 1.
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