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Use the table below to find each probability. The table gives information about students at one school.

Use the table below to find each probability. The table gives information about students-example-1
User Imsc
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Conditional Probabilities

The table gives us information about the favorite leisure activities of students at a school

We are required to find the probability of some events, given the occurrence of another event.

a) P(Sports | Female). It's the probability that a student likes sport if it's a female.

There are 334 female students, from which 39 like sports, thus:


P(S|F)=(39)/(334)=11.68\text{ \%}

b) P(Female | Sports). It's the probability that a student is known to like sports and it's also a female.

There are 106 students that like sports, from which 39 are female, thus:


P(F|S)=(39)/(106)=36.79\text{ \%}

c) P(Reading | Male). It's the probability that a male student likes reading.

There are 366 male students from which 76 like reading, thus:


P(R|M)=(76)/(366)=20.77\text{ \%}

d) P(Male | Reading). It's the probability that a student is known to like reading and it's also a male. There are 161 students who like reading out of which 76 are male, thus:also a male. d)


P(M|R)=(76)/(161)=47.20\text{ \%}

e) P(Hiking | Male). There are 366 male students out of which 58 like hiking, thus:H


P(H|M)=(58)/(366)=15.85\text{ \%}

f) P(Hiking | Female). There are 334 female students out of which 48 like hiking, thus:


P(H|F)=(48)/(334)=14.37\text{ \%}

g) P(Male | Shopping). There are 139 students who like shopping and from them, 68 are male, thus:39 students who like shopping and fr


P(M|S)=(68)/(139)=48.92\text{ \%}

h) P(Shopping | Female). There are 334 female students from which 71 like shopping, thus:


P(S|F)=(71)/(334)=21.26\text{ \%}

I) P(Phoning | Male). There are 366 male students from which 54 like phoning, thus:


P(P|M)=(54)/(366)=14.75\text{ \%}

ich 39 are female, thus:

S

User Tim Williams
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