Question

In: Statistics and Probability

The paper “Cigarette Tar Yields in Relation to Mortality from Lung Cancer in the Cancer Prevention...

The paper “Cigarette Tar Yields in Relation to Mortality from Lung Cancer in the Cancer Prevention Study II Prospective Cohort “ (British Medical Journal [2004]: 72-79) included the accompanying data on the tar level of cigarettes smoked for a sample of male smokers who subsequently died of lung cancer.

Tar Level Frequency
0-7mg 103
8-14 mg 378
15-21 mg 563
≥ 22 mg 150

Assume it is reasonable to regard the sample as representative of male smokers who die of lung cancer. Is there convincing evidence that the proportion of male smoker long cancer death is not the same for the four given tar level categories?

Solutions

Expert Solution

Null Hypothesis:Ho: proportion of male smoker long cancer death is the same for the four given tar level categories.

Alternate hypothesis:Ha: proportion of male smoker long cancer death is not the same for the four given tar level categories

degree of freedom =categories-1= 3
for 3 df and 0.05 level of signifcance critical region       χ2= 7.815
applying chi square goodness of fit test:
           relative observed Expected residual Chi square
category frequency Oi Ei=total*p R2i=(Oi-Ei)/√Ei R2i=(Oi-Ei)2/Ei
0-7 0.250 103 298.50 -11.32 128.041
8-14 0.250 378 298.50 4.60 21.173
15-21 0.250 563 298.50 15.31 234.373
>=22 0.250 150 298.50 -8.60 73.877
total 1.000 1194 1194 457.464

test statistic X2 =457.464

p value =0.0000

as test statisitc is signfiicantly higher therefore we reject null hypothesis and conclude that proportion of male smoker long cancer death is not the same for the four given tar level categories


Related Solutions

Suppose we are interested in predicting lung cancer deaths (MORT) from per capita cigarette consumption (PCCC)....
Suppose we are interested in predicting lung cancer deaths (MORT) from per capita cigarette consumption (PCCC). Sample size (n) = 25 Correlation (r) = .74 Mean of PCCC = 603.636, SD of PCCC = 378.451 Mean of MORT = 20.545, SD of MORT = 11.725 <> Residentials2= 7.374 a). What is "b" b). What is the intercept "a" c). What is the prediction equation?
Describe interventions for each level of prevention for lung cancer for smokers. primary secondary tertiary
Describe interventions for each level of prevention for lung cancer for smokers. primary secondary tertiary
In relation of efficacy of screening for various conditions. Apart from prostate cancer, are there any...
In relation of efficacy of screening for various conditions. Apart from prostate cancer, are there any other conditions for which the benefits of screening may not outweigh the risks? If you have been involved with any screening or surveillance initiatives, you are encouraged to share your experiences and perspectives. Subject is public health
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT