Being able to draw probability conclusions from data is important. This data has
ID: 3273634 • Letter: B
Question
Being able to draw probability conclusions from data is important. This data has a great deal of information.
For example, on the table titled “By Economic Status and Sex,” looking at the total male population exposed to risk, there were 857 males. Looking at the same table, 688 of those males died. The proportion of males exposed to risk that died is 688/857=0.80. Thus, among the males exposed to risk, there are 80 deaths per 100.
By the end of this discussion, you will have demonstrated your ability to:
Analyze and interpret data
Calculate probabilities given raw data
By Economic Status and Sex
Economic
Status
Population Exposed to Risk
Number of Deaths
Deaths per 100 Exposed to Risk
Male
Female
Both
Male
Female
Both
Male
Female
Both
I (high)
II
III (low)
Unknown
172
172
504
9
132
103
208
23
304
275
712
32
111
150
419
8
6
13
107
5
117
163
526
13
65
87
83
89
5
13
22
22
39
59
41
41
Total
857
466
1323
688
131
819
80
28
62
By Economic Status and Age
Economic
Status
Population Exposed to Risk
Number of Deaths
Deaths per 100 Exposed to Risk
Adult
Child
Both
Adult
Child
Both
Adult
Child
Both
I and II
III (low)
Unknown
560
645
32
19
67
0
579
712
32
280
477
13
0
49
0
280
526
13
50
74
41
0
73
-
48
74
41
Total
1237
86
1323
770
49
819
62
57
62
Refer to the data tables above and answer the following questions. Be sure to support your answers (e.g. provide probabilities, ratios, etc.).
Is there a difference in the probability of death for males vs. females?
Does age make a difference in the probability of death?
What does the number of children in relation to the number of adults tell you about this population?
Does economic status make a difference in the probability of death? Does your answer to this question differ depending on the subgroup you are looking at?
What other questions would you like to ask about these data or this event in order to help you make a determination? Can you guess what event generated this data?
We seek well-reasoned hypotheses about the cause of the event based on the given data. With this in mind, please do not search the internet looking for the answer. Incorrect guesses based on sound, logical thinking will be graded favorably.
By Economic Status and Sex
Economic
Status
Population Exposed to Risk
Number of Deaths
Deaths per 100 Exposed to Risk
Male
Female
Both
Male
Female
Both
Male
Female
Both
I (high)
II
III (low)
Unknown
172
172
504
9
132
103
208
23
304
275
712
32
111
150
419
8
6
13
107
5
117
163
526
13
65
87
83
89
5
13
22
22
39
59
41
41
Total
857
466
1323
688
131
819
80
28
62
Explanation / Answer
1) Probability of death for males = 80%
Probability of death for females = 28%
The probability of death for males is 52% more when compared to females .
2) As per the data given , it is not possible to say if age makes a difference in the probability of death.
3) The number of child population exposed to risk is 86 and when compared to adults the population of adults exposed to risk is 1237. The number of child deaths is 49 and the number of adult deaths is 770. The number of children in relation to the number of adults tell us that the number of child population exposed to risk and the number of child deaths is less when compared to adults .
4) Economic status makes a difference in the probability of death because the 1st and 2nd category of population exposed to risk and the number of deaths in the 1st and 2nd category is less when comapred to the 3rd category . The 1st and 2nd category have a higher economic status when compared to the third category .
5) This data is generated from the adult and child mortality rate .
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