A quick little puzzle
Here is a puzzle for you:
In a group of people, 40% are men and the rest are women. It is also given that in this group 40% of the men and 10% of the women are obese.
What is the probability that an obese person in the group is a man?
When you find the solution, post it as a comment or send it to me. The solution will be explained in a later post.
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P(m) = 0.40, P(w) = 0.60
P(o|m) = 0.40, P(o|w) = 0.10
P(o) = P(m) * P(o|m) + P(w) * P(o|w) = 0.22
Bayes’ Rule
P(m|o)
= P(o|m) P(m) / P(o)
= 0.40 * 0.40 / 0.22
= 72.3 %
oops, 72.7 %, I hope.
72.7
72.727272727272727272727272727273
I think so…
72.73, but apparently I am not the FGITW.
16/22 I believe.
Am I right?
62.5?
A nice little puzzle. The answer 16/22 (or 72.73%) is correct. Assume you have 100 people, 40 men and 60 women. That means 16 of the men (40% of 40) and 6 of the women (10% of 60) are obese, for a total of 22 obese people. If you randomly select one obese person, the odds are 16/22 that they are male.
22(obese)=16(male) + 6(female)
16(male)/22(obese) = whatever .
is the answer I think.
There are 16 obese man and 6 obese women in every 100 people.
Hence, probability that an obese person in the group is a man will be = 16/(16+6) = 72.73%
@ Andy – Nice, thanks to your solve I remembered my High school mathematics
Its a standard application of Bayes Theorem.
P(man|obese) = (0.4*0.4)/(0.4*0.4 + 0.6*.1)
= 0.727
well I think its : 2/5
Thant is 2 out of every 5 male is obese…….
Lets us assume there are 100 people
therefore 40 men are there
40% of 40 is 16
thus, 16 men out of 40 are obese
therefore the probability is 16/40= 2/16
sorry in the last line I meant 16/40=2/5