A geometric distribution formula is: p*(1-p)^(n-1) Where p = probability of success and n = is the observed value of success. What does the (1-p)^(n-1) represent? Cleaner equation posted below:
\[P(Y=k)=(1-p)^{k-1}p~~~~~~~~~~~~~~(1-p)^{k-1} <- represents?\]
\(p\) is the probability of success, so \(1-p\) is the probability of failure. This means \((1-p)^n\) is the probability of failing \(n\) times (consecutively). So what the formula describes is the probability of one success after \(n-1\) failures.
O_o wow...
Why is it to the power of n-1 though. Instead of just 'n'? Because 0 can't be included or something?
For a geometrically distributed random variable \(X\), being interested in the value of \(\mathbb P(X=k)\) translates to asking "What is the probability that whatever I'm observing actually occurs for the first time on the \(k\)th trial?" For something to happen on the \(k\)th trial for the first time would be that it *has not* happened for the previous \(k-1\) trials.
ah, okay. ty
yw
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