Respuesta :
Answer:
0.423
Step-by-step explanation:
E represents the event that student who applied for early admission is admitted early.
Out of 2851 applicants of early admissions, 1033 students were admitted early, so probability that a student gets early admssion is = P(E) = [tex]\frac{1033}{2851}[/tex]
Similarly, R represents the event that the student is rejected. So probability that the student is rejected is = P(R) = [tex]\frac{854}{2851}[/tex]
D denotes the event that student is deferred. Since 964 students are deferred, probability that a student is deferred is = P(D) = [tex]\frac{964}{2851}[/tex]
Only 18% of the deferred early admissions get admission in regular session. Let R be the event that student gets admission during regular admission process. So, the probability that a deferred student gets admission in regular session is = P(D ∩ R) = [tex]0.18 \times \frac{964}{2851}=\frac{4338}{71275}[/tex]
We need to find:
The probability that the student will be admitted for early admission OR be deferred and later admitted during the regular admission process.
i.e. we need to find: P(E) OR P(D ∩ R)
Using the values of the probabilities we get:
P(E) OR P(D ∩ R) = P(E) + P(D ∩ R) = 0.423 (rounded to 3 decimal places)
The probability that the student will be admitted for early admission or be deferred and later admitted during the regular admission process is 0.423.
What is Probability?
This is defined as the numerical descriptions of how likely an event is to occur.
Parameters
The probability that a student gets early admission is = P(E) = 1033/2851
The probability that the student is rejected is = P(R) = 854/2851
The probability that a student is deferred is = P(D) = 964/2851
Let R be the event that student gets admission during regular admission process.
The probability that a deferred student gets admission in regular session is = P(D ∩ R) = 0.18 × 964/2851
The probability that the student will be admitted for early admission or be deferred and later admitted during the regular admission process.
P(E) OR P(D ∩ R
P(E) OR P(D ∩ R) = P(E) + P(D ∩ R) = 0.423.
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