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Two independent random samples from two normal populations produced the followin

ID: 3218764 • Letter: T

Question

Two independent random samples from two normal populations produced the following summery. Our aim is to investigate if the mean of population 1 is less than the mean of the second populations. a State the null and alternative hypotheses. Suppose alpha = 0.01 Find the rejection region (use critical value). b. Find the value of the test statistic A random sample of size n = 460 is drawn from a population. This sample produced X = 345 successes. Given H_o: pi = 0.6 versus H_a: pi > 0.6, find the value of the test statistic and the p-value. Two neighborhoods (A and B) in a big city are being considered for after school programs. One hundred parents were sampled form neighborhood A and found that eighty worked full-time. Of the one hundred fifty from neighborhood one B, one hundred worked full-time. Our aim is to investigate if there is a difference between the proportion of working parents in neighborhood A and B. State the null alternative hypotheses. If alpha = .02, find the rejection region.

Explanation / Answer

Q . 1

Null HYpothesis : H0 : 1 = 2

ALternative Hypothesis : HA : 1 < 2

so it is right tailed t - test

Sample 1 Mean x1 = 21.3 ; standard deviation s12 = 12.5 and n1 = 11

Sample 2 Mean x2 = 26.5 ; standard deviation s12 = 9.5 and n1 = 19

Test Statistic : Here variance of both populations are equal

so, sp2 = [(n1 -1) s1 2 +  (n2 -1) s2 2] / (n1 + n2 -2) = 10.5714

t- stat => t = (x2 - x1 )/ sqrt (sp 2 (1/n1 + 1/n2) ) = ( 26.5 - 21.3)/sqrt (10.5714 * (1/11 + 1/19) = 5.2 / 1.2318 = 4.22

for dF = 28, tcritical = 2.467

so as t > tcritical , we can reject the null hypothesis. and can say that mean 1 islesser than mean 2.

Q.4 n = 460 ; X = 345 success

so p = 345/460 = 0.75 ; p0 = 0.6

null Hypothesis : H0 : p = 0.6

alternative hypothesis : H1 : p > 0.6

t - statistic

z = (p - 0.6)/ sqrt(0.6 * 0.4 * 460) = (0.75 - 0.6)/ sqrt (0.6 * 0.4/ 460) = 0.15/ 0.02284 = 6.567

P - value = 0.0001

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