Quote:
Originally Posted by DanT
I should have said that when we compute statistics on observations from a Bernoulli, we code Successes as a 1 and Failure as a 0. So the sample mean is really just the proportion of successes among all of the observations. (The population mean, on the other hand, is the probability that an observation--i.e. the next observation from the distribution, for example--will be a success.)
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I find this all very fascinating. I really appreciate your help and time explaining this to me.
When using a Bernoulli, would you use the same methods to calculate the observation of two (or three or more) successes (not necessarily consecutive)? Or is using a Bernoulli limited to coding a single success or failure?