Your first success probability p_a is higher on the first trial, than on the remaining trials (where it is p_b, constantly). How does this impact the mean of the general experiment (1/p in the general, fixed geometric case) and the standard deviation (sqrt{(1-p)/p^2} in the general, fixed geometric case)?

Nathalie Fields

Nathalie Fields

Answered question

2022-07-21

A geometrically distributed random variable where the first success probability is different
Your first success probability p a is higher on the first trial, than on the remaining trials (where it is p b , constantly). How does this impact the mean of the general experiment (1/p in the general, fixed geometric case) and the standard deviation ( 1 p ) / p 2 in the general, fixed geometric case)?
I think I got the mean:
p a + ( 1 p a ) ( 1 / p b + 1 )

Answer & Explanation

Tristan Pittman

Tristan Pittman

Beginner2022-07-22Added 14 answers

Step 1
It seems you've already figured out how to adjust the expected value: Consider the experiment as one trial with probability p a , and with probability 1 p a a standard series of Bernoulli trials with parameter p b plus one extra trial.
Since the variance can be written as the difference of two expectation values, you can do the same thing for the variance. From n = 1 / p and σ 2 = ( 1 p ) / p 2 = n 2 n 2 in the unmodified case, we get n 2 = ( 1 p ) / p 2 + 1 / p 2 = ( 2 p ) / p 2 .
Step 2
Thus in the modified case, we have n = p a + ( 1 p a ) n + 1 = p a + ( 1 p a ) ( 1 / p b + 1 ) = 1 + ( 1 p a ) / p b , n 1 2 = ( n 1 ) 2 = ( 1 p a ) 2 / p b 2 , ( n 1 ) 2 = p a 0 + ( 1 p a ) n 2 = ( 1 p a ) ( 2 p b ) / p b 2 ,
and thus σ 2 = ( n 1 ) 2 n 1 2 = ( 1 p a ) ( 2 p b ) / p b 2 ( 1 p a ) 2 / p b 2 = 1 p a p b 2 ( 1 + p a p b ) .
To check the result, note that it yields the correct values 0 for p a = 1, ( 1 p b ) / p b 2 for p a = 0 and ( 1 p a ) p a for p b = 1

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