Conduct a test at the
alpha
equals0.01
level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume the samples were obtained independently from a large population using simple random sampling.
Test whether
p 1 greater than p 2
.
The sample data are
x 1 equals 126
,
n 1 equals 248
,
x 2 equals 138
,
and
n 2 equals 316
.
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: p1 = p2
Alternate Hypothesis, Ha: p1 > p2
b)
p1cap = X1/N1 = 126/248 = 0.5081
p1cap = X2/N2 = 138/316 = 0.4367
pcap = (X1 + X2)/(N1 + N2) = (126+138)/(248+316) = 0.4681
Test statistic
z = (p1cap - p2cap)/sqrt(pcap * (1-pcap) * (1/N1 + 1/N2))
z = (0.5081-0.4367)/sqrt(0.4681*(1-0.4681)*(1/248 + 1/316))
z = 1.69
c)
P-value Approach
P-value = 0.0455
As P-value >= 0.01, fail to reject null hypothesis.
Conduct a test at the alpha equals0.01 level of significance by determining (a) the null and...
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