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A random sample of 119 students were asked if they lived on campus or off campus. The following

contingency table gives the two-way classification of the responses.

A random sample of 119 students were asked if they lived on campus or off campus. The-example-1
User Alice
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Explanation:

a probability is always the ratio of

desired cases / totally possible cases

the "group" is the totally possible cases = 119.

we pick 1 student.

female AND off-campus.

there are only 20 students that satisfy that criteria.

the probabilty for this event is then

20/119 = 0.168067227... ≈ 0.168

male AND on-campus.

there are 34 students that satisfy that criteria.

the probability for this event is then

34/119 = 0.285714286... ≈ 0.286

off-campus OR male.

there are 20+11 = 31 students off-campus.

and there are 34+11 = 45 male students.

the overlapping number of 11 students we need to count only once.

so, there are 20+11+34 = 65 students off-campus or male (incl. the on-campus males, as this is an or-criteria).

the probabilty for this event is then

65/119 = 0.546218487... ≈ 0.546

on-campus OR female.

there are 54+34 = 88 students on-campus.

and there are 54+20 = 74 female students.

the overlapping number of 54 students we need to count only once.

so, there are 54+34+20 = 108 students on-campus or female.

the probabilty for this event is then

108/119 = 0.907563025... ≈ 0.908

User GrantTheAnt
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