Respuesta :
Answer:
a
[tex]P(G) = 0.69[/tex]
b
[tex]P(S | G) = 0.81[/tex]
c
[tex]P(M|G') = 0.26[/tex]
Step-by-step explanation:
From the question we are told the
The probability of getting into getting into graduated school if you receive a strong recommendation is [tex]P(G |S) = 0.80[/tex]
The probability of getting into getting into graduated school if you receive a moderately good recommendation is [tex]P(G| M) = 0.60[/tex]
The probability of getting into getting into graduated school if you receive a weak recommendation is [tex]P(G|W) = 0.05[/tex]
The probability of getting a strong recommendation is [tex]P(S) = 0.7[/tex]
The probability of receiving a moderately good recommendation is [tex]P(M) = 0.2[/tex]
The probability of receiving a weak recommendation is [tex]P(W) = 0.1[/tex]
Generally the probability that you will get into a graduate program is mathematically represented as
[tex]P(G) = P(S) * P(G|S) + P(M) * P(G|M) + P(W) * P(G|W)[/tex]
=> [tex]P(G) = 0.7 * 0.8 + 0.2 * 0.6 + 0.1 * 0.05[/tex]
=> [tex]P(G) = 0.69[/tex]
Generally given that you did receive an offer to attend a graduate program, what is the probability that you received a strong recommendation is mathematically represented as
[tex]P( S|G) = \frac{ P(S) * P(G|S)}{ P(G)}[/tex]
=> [tex]P(S|G) = \frac{ 0.7 * 0.8 }{0.69}[/tex]
=> [tex]P(S | G) = 0.81[/tex]
Generally given that you didn't receive an offer to attend a graduate program the probability that you received a moderately good recommendation is mathematically represented as
[tex]P(M|G') = \frac{ P(M) * (1- P(G|M))}{(1 - P(G))}[/tex]
[tex]P(M| G') = \frac{ 0.2 * (1- 0.6)}{ (1 - 0.69)}[/tex]
[tex]P(M|G') = 0.26[/tex]