1. List the variablets) summarized in the table. 2 Which is the most appropriate test to use so test whether there is an association between the push-up group a participant is in (the mumber of push-ups he could do at baseline) and the participants smoking status. • Chi-Squared Goodness of Fit Test • Chi-Squared Test of lndependence 3. Set Lip the Hypotheses to test whether there is an association between the push-up group a pasticipante is in (the numher of pash-ups he could do at baseline) and the participants smoking status with a 1% level of sigaificance 4. Determine the Matris of Expected Counts: moking Status Groups correspendisg to che zumber of paik-aps performed during Baseline Ersminstion Group 2 (11-20) Greup 3 (21-30) Group 4 (31-40) Group 5241) Group 1 (0-10) Ton-amoker revious smoker arreat smoker For example, using the observed counts you would enter: 34, 82. 216,182,103 23, 70,102.64,36 ete. 5. Test Statistie symbol is 6. Test Statistie valuc is (rounded to 2 decimal points) 1. p-value (rounded to 4 decimal points) is & Decision: 9. Conclusion:

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The researchers" objective was to evaluate the association between push-up capacity and subsequent Cardiovascular Disecase (CVD)
event incidence in a cohort of active adult men. The individuals that participated in this study were active males, but mare specifically
male firefighters aged 18 years or older. The following table summarizes some of the data collected during the study.
Smoking Status
Groups corresponding to the number of pusk-upi performed during Baseline Examinacion
Group 1 (0-10)
Group 2 (11-20)
82
Greup 3 (21-30)
216
Group 4 (31-40)
Group 5241)
103
Non-smoker
34
182
Previous smoker
23
70
102
64
36
Currest smoker
47
58
24
18
10
1. List the variable(s) summarized in the table.
2. Which is the most appropriate test to use to test whether there is an association hetween the push-up group a participant is in
(the aumber of push-ups he could do at baseline) and the paricipants smoking status.
Chi-Squared Goodness of Fit Test
Chi-Squared Test of Independence
3. Set Up the Hypotheses to test whether there is an association between the push-up group a pastieipants is in (the number of
push-ups he could do at baseline) and the participants samoking status with a 1% level of significance
He
H.:
4.
Determine the Matrix of Expected Counts:
Groups correspending to the number of pusk-ups performed during Baseline Examination
Greup 3 (21-30)
Smoking Status
Group 1 (0-10)
Group 2 (11-20)
Group 4 (31-40)
Group 5241)
Non-smoker
Previous smoker
Current smoker
For example, using the observed counts you would enter: 34, 82, 216.182, 103
23, 70, 102.64,36
ete.
5. Test Statistic symbol is
6. Test Statistie value is (ounded to 2 decimal points)
1. p-value (rounded to 4 decimal points) is
8. Decision:
9. Conclusion:
Transcribed Image Text:The researchers" objective was to evaluate the association between push-up capacity and subsequent Cardiovascular Disecase (CVD) event incidence in a cohort of active adult men. The individuals that participated in this study were active males, but mare specifically male firefighters aged 18 years or older. The following table summarizes some of the data collected during the study. Smoking Status Groups corresponding to the number of pusk-upi performed during Baseline Examinacion Group 1 (0-10) Group 2 (11-20) 82 Greup 3 (21-30) 216 Group 4 (31-40) Group 5241) 103 Non-smoker 34 182 Previous smoker 23 70 102 64 36 Currest smoker 47 58 24 18 10 1. List the variable(s) summarized in the table. 2. Which is the most appropriate test to use to test whether there is an association hetween the push-up group a participant is in (the aumber of push-ups he could do at baseline) and the paricipants smoking status. Chi-Squared Goodness of Fit Test Chi-Squared Test of Independence 3. Set Up the Hypotheses to test whether there is an association between the push-up group a pastieipants is in (the number of push-ups he could do at baseline) and the participants samoking status with a 1% level of significance He H.: 4. Determine the Matrix of Expected Counts: Groups correspending to the number of pusk-ups performed during Baseline Examination Greup 3 (21-30) Smoking Status Group 1 (0-10) Group 2 (11-20) Group 4 (31-40) Group 5241) Non-smoker Previous smoker Current smoker For example, using the observed counts you would enter: 34, 82, 216.182, 103 23, 70, 102.64,36 ete. 5. Test Statistic symbol is 6. Test Statistie value is (ounded to 2 decimal points) 1. p-value (rounded to 4 decimal points) is 8. Decision: 9. Conclusion:
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