#I've been stuck on this seemingly-simple probability problem for about 30 mins... T^T
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@shrewd grove do you know baye's theorem?
Nope
well the probability they are asking for is calculated by
$$\frac{\text{answer is correct because you know it}}{\text{ answer is correct}}$$
scilent
see if the answer is correct it might be for 2 reasons
either you knew the answer
or you got lucky
so probability of getting the answer correct is :
$p\times 1 + (1-p) \times 0.25$
scilent
@shrewd grovedo you understand this?
somewhat... Let me look more into this, give me a sec
@shrewd grove ?
sorry for the wait man I had to eat dinner... But anyways I don't understand where you got the 0.25 :((
so you understand the p*1 part?
I don't understand that as well, can you explain how you got to there one by one?
see its given in the question p is the probability that you know the answer of the question, and if you know the answer to the question probablity of you getting it right is 1
therefore p*1
probablity of you not knowing the answer is therefore 1-p, and then you randomly choose an option, so the probablity of that option being correct is 1/4=0.25
wait its not 0.25
its 1/c
sorry
ahhh I see(got a bit confused there lmao).
so probability of getting an answer right (if I know the answer) is 1 • p... Right?
yeah sorry about that I didn't read the question properly
yes
And probability of getting an answer right from guessing is 1/c, so we have that too
(1-p)/c
scilent
Oh dang... so this is the final answer?
yeah
I'm starting to actually get it now,
but can you tell me why the probability of getting an answer right from guessing is (1-p)/c?
Now I am aware that (1-p) is the probability of me not knowing the answer, correct?
Oh wow that makes sense
But why do we add (1-p)/c to p?
thats the total probablity of getting a answer correct
OH RIGHT I FORGOT ABOUT THIS
Thank you!! I understand how we got to the answer now 😭
nice can you close the thread
@shrewd grove 2.
+close