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Scorpion4ik [409]
3 years ago
6

Assume you have applied for two scholarships, a Merit scholarship (M) and an Athletic scholarship (A). The probability that you

receive an Athletic scholarship is 0.18. The probability of receiving both scholarships is 0.11. The probability of getting at least one of the scholarships is 0.3.
a. What is the probability that you will receive a Merit scholarship?

b. Are events A and M mutually exclusive? Why or why not? Explain.

c. Are the two events, A and M, independent? Explain, using probabilities.

d. What is the probability of receiving the Athletic scholarship given that you have been awarded the Merit scholarship?

e. What is the probability of receiving the Merit scholarship given that you have been awarded the Athletic scholarship?
Mathematics
1 answer:
hoa [83]3 years ago
8 0

Answer:

Step-by-step explanation:

Given that you have applied for two scholarships, a Merit scholarship (M) and an Athletic scholarship (A).

The probability that you receive an Athletic scholarship is 0.18

P(A) = 0.18

The probability of receiving both scholarships is 0.11.

P(AM) = 0.11

The probability of getting at least one of the scholarships is 0.3.

P(AUM) = 0.3

i.e. P(AUM) =P(A)+P(M)-P(AM) = 0.3

0.18+P(M)-0.11 = 0.3

P(M) = 0.41-0.18 = 0.23

a) the probability that you will receive a Merit scholarship=0.23

b) P(AB) not equals 0

Hence A and B are not mutually exclusive

c) P(AM) = 0.11 and P(A)*P(M) = 0.23*0.18 not equals 0.11

Hence not independent

d) P(A/M) = P(AM)/P(M) = 0.11/0.23 =0.4783

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Using the z-distribution, we have that:

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The first step to solve this question, before building the confidence interval, is finding the sample mean, which is the <u>sum of all observations divided by the number of observations</u>. Hence:

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The margin of error of a z-confidence interval is given by:

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We have to find the critical value, which is z with a p-value of \frac{1 + \alpha}{2}, in which \alpha is the confidence level.

In this problem, \alpha = 0.99, thus, z with a p-value of \frac{1 + 0.99}{2} = 0.995, which means that it is z = 2.575.

Then, the margin of error is:

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\overline{x} - M = 44.1 - 0.8 = 43.3

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Mallorie is 99% sure that the mean hip measurement of size 16 jeans is between 43.3 in and 44.9 in.

A similar problem is given at brainly.com/question/25300297

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