whats the outcome 1

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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
51
22

39
59
74
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.).

  1. Is there a difference in the probability of death for males vs. females?
  2. Does age make a difference in the probability of death?
  3. What does the number of children in relation to the number of adults tell you about this population?
  4. 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?
  5. 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.

 
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