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lakkis [162]
3 years ago
8

If 28% of students in College are near-sighted, the probability that in a randomly chosen group of 20 College students, exactly

4 are near-sighted is closest to
(A) 17%
(B) 18%
(C) 12%
(D) 16%
Mathematics
1 answer:
cluponka [151]3 years ago
7 0

Answer: (D) 16%

Step-by-step explanation:

Binomial probability formula :-

P(x)=^nC_xp^x(1-p)^n-x, where n is the sample size , p is population proportion and P(x) is the probability of getting success in x trial.

Given : The proportion of students in College are near-sighted : p= 0.28

Sample size : n= 20

Then, the the probability that in a randomly chosen group of 20 College students, exactly 4 are near-sighted is given by :_

P(x=4)=^{20}C_4(0.28)^4(1-0.28)^{20-4}\\\\=\dfrac{20!}{4!16!}(0.28)^4(0.72)^{16}\\\\=0.155326604912\approx0.16\%

Hence, the probability that in a randomly chosen group of 20 College students, exactly 4 are near-sighted is closest to 16%.

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3 years ago
suppose that the lifetime of a transistor is a gamma random variable x with mean of 24 weeks and standard deviation of 12 weeks.
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The probability that the transistor will last between 12 and 24 weeks is 0.424

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O,= 12 weeks

The anticipated value, variance, and distribution of the random variable X were all provided to us. Finding the parameters alpha and beta is necessary before we can discover the solutions to the difficulties.

X~gamma(\alpha ,\beta)

E(X)= \alpha \beta                 \beta= 12^{2}/24=6 weeks

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Now we can find the solutions:

The excel formula used to create Figure one is as follows:

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1 year ago
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Now for the median.

To find the median put all the numbers in order, then find the middle number.

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And finally, the mode.

To find the mode, find the number that appears the most. 

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Hopefully this helps! If you have any more questions or don't understand, feel free to DM me, and I'll get back to you ASAP! :)
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Answer:

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