Is the proportion of a sample always $\overline x$, whether that sample belongs to a Bernoulli or Binomial distribution? Or is the proportion of a sample the more likelihood estimative of the probability of success? I used the likelihood function to know the best estimative of the parameter $p$, probability of success, and to Bernoulli it gave me $\widehat p = \overline x,$ and to Binomial it gave me $\widehat p = \overline x/n$ ... so, are the estimative of $p$ the fractions?
2026-04-08 11:02:07.1775646127
What's the proportion of a sample?
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