A topic of public health interest is whether or not passive smoking (i.e., exposure to cigarette smoke in the atmosphere among nonsmokers) has a measurableeffect on pulmonaryhealth. White an

A topic of public health interest is whether or not passive smoking (i.e., exposure to cigarette smoke in the atmosphere among nonsmokers) has a measurableeffect on pulmonaryhealth. White and Froeb (1980) studiedthis question by measuring pulmonary function in severalways in the following groups:
Nonsmokers (NS) People who themselvesdid not smoke and were not exposedto cigarette smoke either at home or on the job.
Passive smokers (PS) People who themselves did not smoke and were not exposed to cigarette smoke in the home but were employed for 20 or more years in an enclosed working area that routinely contained tobacco smoke.
Light Smokers (LS) People whosmoked and inhaled 1-10 cigarettes per day for 20 or more years.
Moderate Smokers(MS) People who smoked and inhaled11-39 cigarettes per day for 20 or more years.
Heavy Smokers(HS) People who smoked and inhaled40 or more cigarettes per day for 20 or more years.
group
Mean FEF (L/s)
sd FEF(L/s)
NS
3.78
0.79
PS
3.30
0.77
LS
3.23
0.78
MS
2.73
0.81
HS
2.59
0.82
A principal measureused by the authors to assess pulmonary function was forced midexpiratory flow (FEF). The authors were able to identify 200 males for each of the five groupsindicated above; means and standard deviations for these five groupswere obtained as:
For this problem, do not use SAS. Instead,consider the anesthesia example from class which used descriptive statistics to generate the ANOVA model results.
Test whether the true mean FEFlevel is different among the five groups. Construct the appro- priate ANOVA table for these data. (1 + 3 pts)
Use Tukey’s multiple-comparison procedure to identify whether thereare any differences among the means.(2pts)
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