. Interpret the odds ratio to determine the strength of
association between the potential sources of exposure and the
disease. Tip: Use the data in Table 2 of the final project research
study to calculate the odds ratio. Show your work.
Table 2. Potential sources of exposure to Salmonella, Trinidad
and Tobago
Case-Control Study, March 1998 – May 1999.
Exposure*
Matched Odds
Ratio p-value
Ate Chicken
0.5
0.4
Ate shell eggs
8.8
<0.001
Ate dishes that contained raw...
Smoking Status
Lung
Cancer
No Lung
Cancer
Total
Yes
100
300
400
No
500
500
1000
Calculate the risk of developing lung cancer among the exposed
group
Calculate the risk of developing lung cancer among the
unexposed group
Calculate the risk ratio of the exposed group when compared to
the unexposed group
Calculate the odds of developing lung cancer among the diseased
group
Calculate the odds of developing lung cancer among the non-
diseased group
Calculate the exposure odds ratio...
The data in the following table show the association between
cigar smoking and death from cancer for 138,033 men. Note: current
cigar smoker means cigar smoker at time of death.
Died From Cancer
Did Not Die from Cancer
Never smoked Cigars
673
124,044
Former Cigar Smoker
95
7,801
Current Cigar Smoker
151
5,269
(A) If an individual is randomly selected from
this study, what is the probability that he died from cancer?
(Round to three decimal places as needed.)
(B)...
A researcher intended to investigate the potential association
between Age Group and Smoking Status. He collected data from 575
participants. The data was summarized in Table 2. Was the data in
support of a statistically significant association between Age
Group and Smoking Status? The significance level was 0.05. How do
you determine the expected levels in the chi test?
Table . Age Group and Smoking Status
Non smoker
Occasional smoker
Frequent smoker
Younger than 35
23
45
35
35~50-years-old
33...
Refer to Table 2.9. Construct and interpret a 95% confidence interval for the population (a) odds ratio, (b) difference of proportions, and (c) relative risk between seat-belt use and type of injury.
Information about an association between two interval-ratio
variables is presented below. The association is between “the hours
of screen time per day” (Y) and “years of schooling” (X). A measure
of the overall association is given as well as the specific
components of the OLS model. The OLS model estimates the effect of
education (X) on the hours of screen time per day (Y).
Association Between x and y Estimate
r -0.229
Rsqrd
OLS Model components Estimate
Constant (a)...
Consider the following data from a study of the relationship
between smoking status of the mother and infant birth weight.
Select the appropriate non-parametric test for data analysis and
show the steps of hypothesis testing (α =
0.05).
Non-smokers
Ex-smokers
Smoker (< ½ pack per day)
Smoker (≥ ½ pack per day)
8.56
7.39
5.97
7.03
8.47
8.64
6.77
5.24
6.39
8.54
7.26
6.14
9.26
5.37
5.74
6.74
7.98
9.21
8.74
6.62
6.84
6.30
7.37
4.94
6.34
Step 1: State...