You are conducting a study to see if the proportion of students
who prefer tests rather than projects is significantly more than
0.89. You use a significance level of α=0.002.
H0:p=0.89
H1:p>0.89
You obtain a sample of size n=447n=447 in which there are 402
successes.
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
This p-value leads to a decision to...
As such, the final conclusion is that...
a. There is sufficient evidence to warrant rejection of the claim
that the proportion of students who prefer tests rather than
projects is more than 0.89.
b.There is not sufficient evidence to warrant rejection of the
claim that the proportion of students who prefer tests rather than
projects is more than 0.89.
c.The sample data support the claim that the proportion of students who prefer tests rather than projects is more than 0.89.
d.There is not sufficient sample evidence to support the claim that the proportion of students who prefer tests rather than projects is more than 0.89.
The following information is provided: The sample size is n = 447, the number of favorable cases is X =402, and the sample proportion is p bar= X/ N = 402 /447 = 0.8993 and the significance level is α=0.002
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho: p = 0.89
H1 :p > 0.89
(2) Test Statistics
The z-statistic is computed as follows:
(3) Decision about the null hypothesis
Using the P-value approach: The p-value is p = 0.2642, and since p = 0.2642 ≥ 0.002, it is concluded that the null hypothesis is not rejected.
p-value is p = 0.2642
p-value is greater than α
fail to reject the null
final conclusion : Answer : option ( a )
There is sufficient evidence to warrant rejection of the claim that the proportion of students who prefer tests rather than projects is more than 0.89.
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