Respuesta :
Solution:
Probability of an event [tex]=\frac{\text{Total favorable outcome}}{\text{Total possible outcome}}[/tex]
The table showing numbers of male and female students in a particular country who received bachelor's degrees in business in a recent year.
business degrees Non-business degrees total
male 189131 634650 823781
female 169539 885329 1054868
total 358670 1519979 1878649
We will use Bay's theorem to answer this question.
M=Male, F= Female, B=Business degree
(a)Probability that a randomly selected student is male, given that the student received a business degree.
[tex]P(\frac{M}{B})=\frac{P(\frac{B}{M})}{P(\frac{B}{M})+P(\frac{B}{F})}=\frac{\frac{189131}{358670}}{\frac{189131}{358670}+\frac{169539}{358670}}\\\\ =\frac{189131}{189131 + 169539}\\\\ =\frac{189131}{358670}\\\\ =0.527[/tex]
You can calculate it directly,
[tex]P(\frac{M}{B})=\frac{\text{Total number of males having business degree}}{\text{Total number of business degree students}}=\frac{189131}{358670}=0.527[/tex]
(b) The probability that a randomly selected student received a business degree, given that the student is Female
[tex]P(\frac{B}{F})=\frac{\text{Girls having business degree}}{\text{Total number of girls}}\\\\ P(\frac{B}{F})=\frac{169539}{1054868}\\\\ P(\frac{B}{F})=0.161[/tex]
The probability of an event is the possible outcome of the event.
- The probability that a randomly selected student is male, given that the student received a business degree is 0.527
- The probability that a randomly selected student received a business degree, given that the student is female is 0.161
We make use of the following representation:
[tex]B \to[/tex] Business degrees
[tex]N \to[/tex] Non-business degrees
[tex]M \to[/tex] Male
[tex]F \to[/tex] Female
(a): The probability that a randomly selected student is male, given that the student received a business degree.
This is represented as:
[tex]P(M | B)[/tex]
And it is calculated as follows:
[tex]P(M | B) = \frac{n(M\ n\ B)}{n(B)}[/tex]
From the table:
[tex]n(M\ n\ B) = 189131[/tex]
[tex]n(B) = 358670[/tex]
So, we have:
[tex]P(M | B) = \frac{n(M\ n\ B)}{n(B)}[/tex]
[tex]P(M | B) = \frac{189131}{358670 }[/tex]
[tex]P(M | B) = 0.527[/tex]
(b): The probability that a randomly selected student received a business degree, given that the student is female.
This is represented as:
[tex]P(B | F)[/tex]
And it is calculated as follows:
[tex]P(B | F) = \frac{n(B\ n\ F)}{n(F)}[/tex]
From the table:
[tex]n(B\ n\ F) = 169539[/tex]
[tex]n(F) = 1054868[/tex]
So, we have:
[tex]P(B | F) = \frac{n(B\ n\ F)}{n(F)}[/tex]
[tex]P(B | F) = \frac{169539}{1054868}[/tex]
[tex]P(B | F) = 0.161[/tex]
Hence,
- The probability that a randomly selected student is male, given that the student received a business degree is 0.527
- The probability that a randomly selected student received a business degree, given that the student is female is 0.161
Read more about probabilities at:
https://brainly.com/question/11234923