Calculating Variance of Two Bernoulli Experiments

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SUMMARY

The discussion focuses on calculating the variance of two Bernoulli experiments where the outcomes are defined as success (X=1) and failure (X=0). The probability of success for two consecutive trials is given by P(X=1) = p², leading to an expected value E(X) = p². To find the variance Var(X), participants suggest applying the variance formula for a single Bernoulli trial using the adjusted probability p², which simplifies the calculation process.

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hoffmann
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say you perform one bernoulli experiment where outcome X = 0 and X=1 are failure and success, respectively. then you have P(X=0) = 1-p and P(X=1) = p.

what if you expand this to two bernoulli experiments? only 1/4 cases would be successful, so you would have:

P(X=1) = p^2
E(X) = p^2
Var(X) = ?

i'm hung up on how to calculate Var(X). any thoughts?
 
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1/4 cases are successful if you define success to be two consecutive trials in a row succeed. In this case you just have a single Bernoulli trial with probability of success p2. So just take the formula for the variance of a Bernoulli trial and plug in p2
 

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