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Usimov [2.4K]
3 years ago
10

Two professors are applying for grants. Professor Jane has a probability of 0.64 of being funded. Professor Joe has probability

0.23 of being funded. Since the grants are submitted to two different federal agencies, assume the outcomes for each grant are independent. Give your answer to four decimal places. a. What is the probability that both professors get their grants funded
Mathematics
1 answer:
8_murik_8 [283]3 years ago
7 0

Answer:

14.72% probability that both professors get their grants funded

Step-by-step explanation:

Independent events:

If two events, A and B are independent, the probability of both happening is:

P(A \cap B) = P(A)*P(B)

In this question:

Event A: Professor Jane is funded

Event B: Professor Joe is funded.

Professor Jane has a probability of 0.64 of being funded.

This means that P(A) = 0.64

Professor Joe has probability 0.23 of being funded.

This means that P(B) = 0.23

What is the probability that both professors get their grants funded

P(A \cap B) = P(A)*P(B) = 0.64*0.23 = 0.1472

14.72% probability that both professors get their grants funded

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The time for a professor to grade an exam is normally distributed with a mean of 16.3 minutes and a standard deviation of 4.2 mi
dem82 [27]

Answer:

62.17% probability that a randomly selected exam will require more than 15 minutes to grade

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 16.3, \sigma = 4.2

What is the probability that a randomly selected exam will require more than 15 minutes to grade

This is 1 subtracted by the pvalue of Z when X = 15. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{15 - 16.3}{4.2}

Z = -0.31

Z = -0.31 has a pvalue of 0.3783.

1 - 0.3783 = 0.6217

62.17% probability that a randomly selected exam will require more than 15 minutes to grade

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3 years ago
Can someone help with this ASAP
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Answer:

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Step-by-step explanation:

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Answer: 30 degrees

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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