#type 2 error
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Well, this is just a guess, but I suspect you do it by finding the probability of a Type II error.
how do we do that?
😅
it says its accepted if there is at least one tail
so do we find 1-(probability of getting no tails)
using the correct distribution
Well, first we recall the definition of a Type II error, then we calculate the probability of one occurring.
yeah I am familiar
with the definition
so do we find 1-(probability of getting no tails)
using the correct distribution
all we know about the correct distribution is that p>0.5
so how do we then find the probability/
Can you explain the definition?
when we dont reject the null hypothesis
even though we were supposed to
The null hypothesis in this case being that the coin is fair?
So then we're looking for the probability that the coin is unfair and our test tells us that the coin is fair.
Under what conditions does the test tell us the coin is fair?
And what's the probability of that occurring if the coin is not fair?
Right, this is either a joint or a conditional probability, depending on how precisely we're talking about it.
It's either P(double headed & tails) or P(tails | double headed).
Which one is irrelevant in this specific context, since P(tails | double headed) = 0 and P(double headed & tails) = P(tails | double headed) * P(double headed).
Given that we aren't given probabilities for our hypotheses, I would suspect that we're specifically looking for the conditional probability.