A local university found it could classify its students into one of three general categories: morning...
A local university found it could classify its students into one of three general categories: morning students (40%), afternoon students (29%), and evening students. 38% of the morning students, 23% of the afternoon students, and 17% of the evening students live on campus.
What is the probability a non-afternoon student does not live on campus?
Homework Answers
Answer:
Given data,
A local university found it could classify its students into one of
three general categories:
Say totally we have 1000 students.
Morning students= 40%:
Morning students = 
=400
Afternoon students=29%:
Afternoon students = 
=290
Then, remaining
Evening students=31%:
Evening students = 
=310
38% of morning:
=57.76 in campus.
So,
=400-57.76
=342.24 not in campus.
23% of afternoon:
=66.7 in campus.
17% of evening:
=52.7 in campus.
So,
=310-52.7
=257.3 not in campus.
The probability a non-afternoon student does not live on campus:
P(non-afternoon not in campus) = (non-afternoon not in campus) / (total non-afternoon)
=0.844
=84.4%
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