Consider the following joint probability distribution for random variables: hourly wage in dollars, wage, and years of education, educ.
wage = 5 wage = 10 wage = 15
educ = 12 1/6 1/12 1/12
educ = 14 1/12 1/6 1/12
educ = 16 1/12 1/12 1/6
1) What is E(educ)?
2) What is E(wage)?
3) What is P(wage = 5 | educ = 12)?
4) What is P(wage = 10 | educ = 12)?
Data:
wage, w | Probaility, p | p*e | ||||
5 | 10 | 15 | ||||
educ, e | 12 | 0.1667 | 0.0833 | 0.0833 | 0.3333 | 4 |
14 | 0.0833 | 0.1667 | 0.0833 | 0.3333 | 4.666667 | |
16 | 0.0833 | 0.0833 | 0.1667 | 0.3333 | 5.333333 | |
Probability, p | 0.3333 | 0.3333 | 0.3333 | |||
p*w | 1.66666667 | 3.333333 | 5 |
1.
E(educ) = 4 + 4.667 + 5.33
= 14
2.
E(Wage) = 1.667 + 3.33 + 5
= 10
3.
P(wage = 5 | educ = 12) = 0.1667/0.333
= 0.5
4.
P(wage = 10 | educ = 12) = 0.0833/0.3333
= 0.25
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