A local university found it could classify its students into one of three genera

Question

A local university found it could classify its students into one of three general categories: morning students (47%), afternoon students (35%), and evening students, 38% of the morning students, 27% of the afternoon students, and 15% of the evening students live on campus Question 1 What is the probability a non-Morning student does not live on campus? Of 42 bank accounts at a small bank, 20 accounts have values of less than $1,000 and the rest have values of at least $1,000. Suppose 5 accounts are randomly sampled. (See exercise 9 on page 189 of your textbook for a similar problem.) Question 2 What is the probability that exactly 4 of the 5 accounts have values of at least $1,000?

Explanation / Answer

dear student, please post the question one at a time

1)probability that the student is a morning student =0.47

afternoon student =0.35

evening student = 0.18

the probability of the morning student who lives on campus=0.38

the afternoon student who live on campus =0.27

the evening student who lives on campus =0.15

The probability of non- morning student who does not live on campus: 0.35 (1-0.27) + 0.18 (1-0.15)=0.4085

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