You wish to test the following claim ( H 1 ) at a significance level of α = 0.01 . H o : p = 0.78 H 1 : p > 0.78 You obtain a sample of size n = 453 in which there are 377 successful observations.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
-less than (or equal to) α
-greater than α
This test statistic leads to a decision to...
-reject the null
-accept the null
-fail to reject the null
As such, the final conclusion is that...
-There is sufficient evidence to warrant rejection of the claim that the population proportion is greater than 0.78.
-There is not sufficient evidence to warrant rejection of the claim that the population proportion is greater than 0.78.
-The sample data support the claim that the population proportion is greater than 0.78.
-There is not sufficient sample evidence to support the claim that the population proportion is greater than 0.78.
Given,
Hypothesis:
H0 : p=0.78
H1: p > 0.78
n = 453
x=377
First calculate sample proportion
p^ =x/n = 377/453 = 0.8322
1) test statistic Z value
z = (p^-p) /((p*(1-p))/n)
= (0.8322-0.78)/((0.78*(1-0.78))/453)
z = 2.682
2) p value for Z test statistic is 0.0036.
P value = 0.0036
3) result:
P value (0.0036) is less than 0.01 level of significance. Hence reject null hypothesis.
4) conclusion:
Reject the null hypothesis. There is sufficient evidence to conclude that the proportion is greater than 0.78.
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