In: Statistics and Probability
Anger and Coronary Heart Disease
Consider the two-way table below based on a four-year study about
the relationship between anger and heart disease among a random
sample of individuals. The subjects (i.e. participants in the
study) were free of heart disease at the beginning of the study
when they took a test that measured how prone they were to sudden
anger. Their heart health was monitored over a four-year period and
it was recorded whether they developed Coronary Heart Disease
(CHD). In short, the study attempts to examine whether anger levels
are associated with the likelihood of developing coronary heart
disease. Now please answer the questions 1) to 3):
1)(4 Points)In the two-way table below, report the marginal distributions and the total sample size, in counts and percents.
2) (3 Points)In the two-way table below, report the conditional distributions of coronary heart disease in percents. Note that the conditional distributions of coronary heart disease refer to the distributions of coronary heart disease given each anger level.
3) (2 Points)With reference to your calculations above as well as our discussions in class (on how to detect association between two categorical variables), explainwhether there is potential association between anger and Coronary Heart Disease. (Note: An answer of only “Yes” or “No” without any explanation will receive no credit.)
#Individuals |
Coronary Heart Disease |
NO Coronary Heart Disease |
|
Low Anger |
530 |
3,057 |
|
Moderate Anger |
1,100 |
4,621 |
|
High Anger |
270 |
606 |
|
1)(4 Points)In the two-way table below, report the marginal distributions and the total sample size, in counts and percents.
the marginal distribution in counts
#Individuals | Coronary Heart Disease | NO Coronary Heart Disease | total |
Low Anger | 530 | 3,057 | 3587 |
Moderate Anger | 1,100 | 4,621 | 5721 |
High Anger | 270 | 606 | 876 |
total | 1900 | 8284 | 10184 |
the marginal distribution in percent
#Individuals | Coronary Heart Disease | NO Coronary Heart Disease | |
Low Anger | 0.0520 | 0.3002 | 0.3522 |
Moderate Anger | 0.1080 | 0.4538 | 0.5618 |
High Anger | 0.0265 | 0.0595 | 0.0860 |
0.1866 | 0.8134 | 1.0000 |
2) (3 Points)In the two-way table below, report the conditional distributions of coronary heart disease in percents. Note that the conditional distributions of coronary heart disease refer to marginal the distributions of coronary heart disease given each anger level.
the conditional distribution is given as
#Individuals | Coronary Heart Disease | NO Coronary Heart Disease | |
Low Anger | 0.1478 | 0.8522 | |
Moderate Anger | 0.1923 | 0.8077 | |
High Anger | 0.3082 | 0.6918 |
3) (2 Points)With reference to your calculations above as well as our discussions in class (on how to detect association between two categorical variables), explainwhether there is potential association between anger and Coronary Heart Disease. (Note: An answer of only “Yes” or “No” without any explanation will receive no credit.)
here we use chi-square test and chi-square=sum((O-E)2/E=122.2564 with (r-1)(c-1)=(3-1)(2-1)=2 df
critical chi-square(0.05,2)=5.99 is less than calcuated chi-square=122.2564, so we fail to accept null hypothesis of independence between the anger and coronary heart disease and conclude that there is potential association between anger and Coronary Heart Disease.
Observed(O) | Expected | E | (O-E) | (O-E)2/E |
530 | 3587*1900/10184 | 669.2164 | -139.216 | 28.96105 |
1100 | 5721*1900/10184 | 1067.351 | 32.64925 | 0.99871 |
270 | 876*1900/10184 | 163.4328 | 106.5672 | 69.48763 |
3057 | 3587*8284/10184 | 2917.784 | 139.2164 | 6.642443 |
4621 | 5721*8284/10184 | 4653.649 | -32.6493 | 0.229062 |
606 | 876*8284/10184 | 712.5672 | -106.567 | 15.93753 |
10184 | 0 | 10184 | 2.56E-13 | 122.2564 |