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nadya68 [22]
3 years ago
9

The probability that a person is a college graduate is 0.35, and that he/she has high blood pressure is 0.12. Assuming that thes

e two events are independent, the probability that a person selected at random is a college graduate and has high blood pressure is:???????
Mathematics
2 answers:
Oksanka [162]3 years ago
8 0

Answer:

0.16

Step-by-step explanation:

Answered on Chegg

Setler [38]3 years ago
3 0
0.16 it was kindaaa easyy pur
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Mrs. Nestler enjoys listening to classical music. She has the following audio CDs by her favorite composers in her collection: 4
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Answer:

Answer:10.55% probability Step-by-step explanation:A probability is the num

Step-by-step explanation:

7 0
3 years ago
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Two spinners are shown. Look at the spinners as you respond to the statements below.
spayn [35]
Answer:
A. false
B. true
C. true
D. false
step-by-step:
A: probability of spinning a 4 on spinner A is 1/4 and probability of spinning a 4 on spinner B is 1/3.
B: there are 2 fours out of 6 possible options so that makes it 2/6, simplify that, it becomes 1/3.
C: 2 and 4 are even numbers so that makes 2/4 possible on spinner A. simplify 2/4 and that becomes 1/2.
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3 years ago
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This year the CDC reported that 30% of adults received their flu shot. Of those adults who received their flu shot,
Vlad [161]

Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

Conditional Probability

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem:

  • Event A: Person has the flu.
  • Event B: Person got the flu shot.

The percentages associated with getting the flu are:

  • 20% of 30%(got the shot).
  • 65% of 70%(did not get the shot).

Hence:

P(A) = 0.2(0.3) + 0.65(0.7) = 0.515

The probability of both having the flu and getting the shot is:

P(A \cap B) = 0.2(0.3) = 0.06

Hence, the conditional probability is:

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.06}{0.515} = 0.1165

0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

To learn more about conditional probability, you can take a look at brainly.com/question/14398287

7 0
2 years ago
Find the missing length indicated.
Andrews [41]

Answer:

<h3>x=144</h3>

Step-by-step explanation:

h²=65²-25²=4225-625=3600

h²=x*25

x=h²:25

x=3600:25

<h3>x=144</h3>
8 0
3 years ago
A shopkeeper bought a pen at rs 20 and sold at rs25 find his profit or loss
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