Question

In: Statistics and Probability

1. A survey reflects the views of 1,000 undergraduate students on the new building on campus....

1. A survey reflects the views of 1,000 undergraduate students on the new building on campus. The table below shows their points (like, dislike or not care) and which year they are. (write out all the probabilities in formal notion)

Like

Dislike

Not care

Total

Freshman

100

98

22

220

Sophomore

152

85

23

260

Junior

80

178

12

270

Senior

143

76

31

250

Total

475

437

88

1000

  1. Form the proportions table.
  2. Are disliking the building and being junior mutually exclusive?
  3. What is the probability that a randomly chosen student who is a freshman or like the building?
  4. What is the probability that a randomly chosen student who is a sophomore given that he dislikes the building?
  5. What is the probability that a randomly chosen student doesn’t care about the building given that he is a senior?
  6. What is the probability that a randomly chosen student who is a sophomore or junior given that he likes the building?
  7. Use general multiplication rule to determine the probability that a student both is a senior and don’t care about the building.
  8. Does it appear that whether or not a student likes the building is independent of their years? Explain your reasoning.

Solutions

Expert Solution

a) Proportions table:

Like Dislike Not care Total
Freshman 100 / 1000 = 0.100 98 / 1000 = 0.098 22 / 1000 = 0.022 220 / 1000 = 0.22
Sophomore 152 / 1000 = 0.152 85 / 1000 = 0.085 23 / 1000 = 0.023 260 / 1000 = 0.26
Junior 80 / 1000 = 0.080 178 / 1000 = 0.178 12 / 1000 = 0.012 270 / 1000 = 0.27
Senior 143 / 1000 = 0.143 76 / 1000 = 0.076 31 / 1000 = 0.031 250 / 1000 = 0.25
Total 475 / 1000 = 0.475 437 / 1000 = 0.437 88 / 1000 = 0.088 1

b) P(Junior and Dislike) = 178/1000 = 0.178

No, disliking the building and being junior is not mutually exclusive.

Mutually exclusive events are things that can't happen at the same time. But as these event are happening at the same time we cannot say that they are mutually exclusive.

c) P(Freshman or Like) = P(Freshman) + P(Like) - P(Freshman and Like)

= 220/1000 + 475/1000 - 100/1000 = 0.595

d) P(Sophomore | Dislike) = P(Sophomore and Dislike) / P(Dislike)

= (85/1000) / (437/1000) = 0.1945

e) P(Not care | Senior) = P(Not care and Senior) / P(Senior)

= (31/1000) / (250/1000) = 0.124

f) P(Sophomore or Junior | Like) = P((Sophomore or junior) and Like) / P(Like)

= ((152+80)/1000) / (475/1000) = 0.4884

g) P(Senior and Not care) = 31/1000 = 0.031


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