Conduct a test at the alphaequals0.10 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 123, n 1 equals 248, x 2 equals 141, and n 2 equals 312. (a) Choose the correct null and alternative hypotheses below. A. Upper H 0 : p 1 equals p 2 versus Upper H 1 : p 1 greater than p 2 B. Upper H 0 : p 1 equals 0 versus Upper H 1 : p 1 not equals 0 C. Upper H 0 : p 1 equals p 2 versus Upper H 1 : p 1 not equals p 2 D. Upper H 0 : p 1 equals p 2 versus Upper H 1 : p 1 less than p 2 (b) Determine the test statistic. z0equals nothing (Round to two decimal places as needed.) (c) Determine the P-value. The P-value is nothing. (Round to three decimal places as needed.) What is the result of this hypothesis test? A. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p 1 greater than p 2. B. Reject the null hypothesis because there is sufficient evidence to conclude that p 1 less than p 2. C. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p 1 not equals p 2. D. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p 1 less than p 2.
a)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: p1 = p2
Alternate Hypothesis, Ha: p1 > p2
b)
p1cap = X1/N1 = 123/248 = 0.496
p1cap = X2/N2 = 141/312 = 0.4519
pcap = (X1 + X2)/(N1 + N2) = (123+141)/(248+312) = 0.4714
Test statistic
z = (p1cap - p2cap)/sqrt(pcap * (1-pcap) * (1/N1 + 1/N2))
z = (0.496-0.4519)/sqrt(0.4714*(1-0.4714)*(1/248 + 1/312))
z = 1.04
c)
P-value Approach
P-value = 0.149
d)
As P-value >= 0.1, fail to reject null hypothesis.
A. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p 1 greater than p 2
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