Conduct a test at the
alphaαequals=0.100.10
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 2p1>p2.
The sample data are
x 1 equals 118x1=118,
n 1 equals 256n1=256,
x 2 equals 144x2=144,
and
n 2 equals 319n2=319.
(a) When comparing two population proportions, the null hypothesis is a statement of "no difference." The alternative hypothesis is based on what is to be determined from the test. Recall that the null hypothesis is a statement of equality, and the alternative hypothesis is a statement of inequality. 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 Your answer is correct.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 less than p 2 D. Upper H 0 : p 1 equals p 2 versus Upper H 1 : p 1 not equals p 2 (b) If the samples are independently obtained using simple random sampling, n 1 ModifyingAbove p with caret 1 left parenthesis 1 minus ModifyingAbove p with caret 1 right parenthesis greater than or equals 10 and n 2 ModifyingAbove p with caret 2 left parenthesis 1 minus ModifyingAbove p with caret 2 right parenthesis greater than or equals 10, and the sample sizes are no more than 5% of the population, then the test statistic z 0 can be found. The problem assumes that the samples were obtained independently from a large population using simple random sampling. To make sure the formula can be used, evaluate n 1 ModifyingAbove p with caret 1 left parenthesis 1 minus ModifyingAbove p with caret 1 right parenthesis and n 2 ModifyingAbove p with caret 2 left parenthesis 1 minus ModifyingAbove p with caret 2 right parenthesis. Start by evaluating ModifyingAbove p with caret 1. Use the fact that ModifyingAbove p with caret Subscript i Baseline equals StartFraction x Subscript i Over n Subscript i EndFraction to evaluate ModifyingAbove p with caret 1. ModifyingBelow ModifyingAbove p with caret 1 With font size decreased by 2 nothing equals StartFraction x 1 Over n 1 EndFraction equals StartFraction 118 Over 256 EndFraction equals . 4609 (Round to four decimal places as needed.) Now evaluate ModifyingAbove p with caret 2. ModifyingBelow ModifyingAbove p with caret 2 With font size decreased by 2 nothing equals StartFraction x 2 Over n 2 EndFraction equals StartFraction 144 Over 319 EndFraction equals . 4514 (Round to four decimal places as needed.) Evaluate the condition for the first sample. Substitute and simplify. n 1 ModifyingAbove p with caret 1 left parenthesis 1 minus ModifyingAbove p with caret 1 right parenthesis equals 256 times 0.4609 left parenthesis 1 minus 0.4609 right parenthesis equals 63.61 (Round to two decimal places as needed.) Now substitute in the values for the second sample and simplify. n 2 ModifyingAbove p with caret 2 left parenthesis 1 minus ModifyingAbove p with caret 2 right parenthesis equals 319 times 0.4514 left parenthesis 1 minus 0.4514 right parenthesis equals 79.00 (Round to two decimal places as needed.) The formula for the test statistic is the following. z 0 equals StartFraction ModifyingAbove p with caret 1 minus ModifyingAbove p with caret 2 Over StartRoot ModifyingAbove p with caret left parenthesis 1 minus ModifyingAbove p with caret right parenthesis EndRoot times StartRoot StartFraction 1 Over n 1 EndFraction plus StartFraction 1 Over n 2 EndFraction EndRoot EndFraction where ModifyingAbove p with caret equalsStartFraction x 1 plus x 2 Over n 1 plus n 2 EndFraction Since both values are greater than 10, calculate the test statistic. While either the formula or technology can be used to calculate the test statistic, for this example use technology. z 0equals nothing (Round to two decimal places as needed.)
(a)
Hypotheses are:
(b)
Here we have
Pooled sample proportion is
Standard error of the test is:
So test statistics will be
Since test is right tailed so p-value is: 0.409
Excel function used for p-value: "=(1-NORMSDIST(0.49))"
Since p-value is greater than 0.10 so we fail to reject the null hypothesis.
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