In a survey of 444 HIV-positive smokers, 205 reported that they had used a nicotine patch to try to quit smoking. Can you conclude that less than half of HIV-positive smokers have used a nicotine patch? Use the α=0.05 level of significance and the P-value method with the table.
1) State the null and alternate hypotheses.
The null hypothesis, H0, says that half of HIV-positive smokers have used a nicotine patch. Therefore we have
H0:
We are interested in knowing whether less than half of HIV-positive smokers have used a nicotine patch. Therefore, the alternate hypothesis is
H1:
right tailed, Left tailed or two tailed?
2) Compute the test statistic z=?
3) Compute the P-value. . Round the answer to four decimal places.
4) Determine whether to reject H0.
5) State a conclusion.
At the α=0.05 level of significance, there is or is not enough evidence to conclude that less than half of HIV-positive smokers have used a nicotine patch
n= 444, x= 205, P = 50% = 0.50
= 0.05
1)
The null and alternative hypothesis is
Ho: P = 0.50
H1: P < 0.50
Left tailed
2)
formula for test statistics is
z = -1.614
test statistics: z = -1.61
3)
calculate P-Value
P-Value = P(z < -1.61)
using z table we get
P(z < -1.61) = 0.0537
P-Value = 0.0537
4)
decision rule is
Reject Ho if ( P-value ) ( )
here, ( P-value= 0.0537 ) > ( = 0.05)
Hence, we can say,
Do not reject the null hypothesis ( Ho ).
5)
there is not enough evidence to conclude that less than half of HIV-positive smokers have used a nicotine patch At the α=0.05 level of significance.
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