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Mademuasel [1]
3 years ago
6

13 percent of a certain company's life insurance policy holders are smokers. For each nonsmoker the probability of dying during

the year is 0.002. For each smoker the probability of dying during the year is 0.02. Find the probability that a policy holder who died last year was a smoker.
Mathematics
1 answer:
castortr0y [4]3 years ago
6 0

Answer:

.6

Step-by-step explanation:

Using Bayes' theorem

While s = smoker

n = nonsmoker

D = died

P(s) = .13

P(n) =.87

P(D/s) =0.02

P(D/n) =0.002

P(s/D) = ??

P(s/D)=\frac{P(s)*P(D/s)}{P(s)*P(D/s)+P(n) *P(D/n)} =\frac{.13*.02}{.13*.02+.87*.002}=.6

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vfiekz [6]

According to the model, the  year will the population exceed 470 million is 2060

What is the first step to take?

The first step in this case is to use the model to compute the population figure in each year as shown below:

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Since all the years given do not give the correct year, let us equate the target population figure to the model and solve for t

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Find out more about population model on:brainly.com/question/25896797

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Is -77 a integer? Anyone help pls
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Step-by-step explanation:

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