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In Exercises 6–10, use the following results from tests of an experiment to test the effectiveness of an experimental vaccine for children (based on data from USA Today). Express all probabilities in decimal form.


Developed Flu

Did not develop Flu

Vaccine Treatment

14

1056

Placebo

95

437

Find the probability of randomly selecting 2 subjects without replacement and finding that they both developed flu.

Short Answer

Expert verified

The probability that both developed flu is 0.00459.

Step by step solution

01

Given information

The table gives the categorization of the subjects into four groups.

02

Describe the probability of events when carried out without replacement

The probability for a simple event is:

PE=NumberoffavorableoutcomesTotalnumberofoutcomes

Two or more events can take place one after the other in two manners:

  • With replacement: The probability of the subsequent draw remains the same.
  • Without replacement: The probability of the subsequent draw changes (the previous draw is not replaced).
03

Tabulate the row and column totals

Compute the sum row wise and column wise.


Developed Flu

Did not develop Flu

Totals

Vaccine Treatment

14

1056

1070

Placebo

95

437

532

Total

109

1493

1602

04

Express the probability of each of the events

Define X as the event that the first subject developed flu and Yas the event that the second subject selected also developed flu.

The number of subjects who had developed flu is 109.

The number of remaining subjects who had developed flu after the first is selected is 108.

The total number of subjects is 1602.

The total number of remaining subjects, after the first is selected, is 1601.

The probability for events X and Y:

PX=1091602PY=1081601

Thus, the probability that both subjects developed flu is:

PXandY=PX×PY=1091602×1081601=0.00459

Therefore, the probability that both subjects developed flu is 0.00459.

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Most popular questions from this chapter

In Exercises 25–32, find the probability and answer the questions.

X-Linked Genetic Disease Men have XY (or YX) chromosomes and women have XX chromosomes. X-linked recessive genetic diseases (such as juvenile retinoschisis) occur when there is a defective X chromosome that occurs without a paired X chromosome that is not defective. In the following, represent a defective X chromosome with lowercase x, so a child with the xY or Yx pair of chromosomes will have the disease and a child with XX or XY or YX or xX or Xx will not have the disease. Each parent contributes one of the chromosomes to the child.

a. If a father has the defective x chromosome and the mother has good XX chromosomes, what is the probability that a son will inherit the disease?

b. If a father has the defective x chromosome and the mother has good XX chromosomes, what is the probability that a daughter will inherit the disease? c. If a mother has one defective x chromosome and one good X chromosome and the father has good XY chromosomes, what is the probability that a son will inherit the disease?

d. If a mother has one defective x chromosome and one good X chromosome and the father has good XY chromosomes, what is the probability that a daughter will inherit the disease?

Notation When randomly selecting adults, let M denote the event of randomly selecting a male and let B denote the event of randomly selecting someone with blue eyes. What does PM|Brepresent? IsPM|B the same asPB|M ?

Probability from a Sample Space. In Exercises 33–36, use the given sample space or construct the required sample space to find the indicated probability.

Four Children Using the same sample space and assumption from Exercise 35, find the probability that when a couple has four children, all four are of the same gender.

At Least One. In Exercises 5–12, find the probability.

At Least One Defective iPhone It has been reported that 20% of iPhones manufactured by Foxconn for a product launch did not meet Apple’s quality standards. An engineer needs at least one defective iPhone so she can try to identify the problem(s). If she randomly selects 15 iPhones from a very large batch, what is the probability that she will get at least 1 that is defective? Is that probability high enough so that she can be reasonably sure of getting a defect for her work?

Penicillin “Who discovered penicillin: Sean Penn, William Penn, Penn Jillette, Alexander Fleming, or Louis Pasteur?” If you make a random guess for the answer to that question, what is the probability that your answer is the correct answer of Alexander Fleming?

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