Where P is the probability vs where p is the probability of

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where P is the probability is the most popular phrase on the web. 

where p is the probability of

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where P is the probability

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Some examples and use cases from the internet:

Some examples and use cases from the internet:
  • 2
  • ... variables with the same probability of success. The expectation of a Bernoulli RV is rather easy: `E[X] = 1*p + 0*(p
  • 1) = p`, where p is the probability of success.
  • where p is the probability of success. The probability that it takes more than n trials to see the first success is. H. R commands: P(X I n) I dgeom(n — 1, p) and P (X > ...
  • where p is the probability of success. R command: ). ( n. XP = =dgeom(n – 1, p). Example 1: A quarterback completes 44% of his passes. We want to observe this.
  • ... of x successes in n independ only
  • event (success or failure) trials where p is the probability of success on a trial and q is the probability of failure on the trial.
  • ... of x successes in n independ only
  • where p is the probability mass function of X. Note that the subscripted notations GX and pX are often used to emphasize that these pertain to a particular ...
  • 2
  • where p is the probability of success. The probability that it takes more than n trials to see the first success is. H. R commands: P(X I n) I dgeom(n — 1, p) and P (X > ...
  • where p is the probability of success. R command: ). ( n. XP = =dgeom(n – 1, p). Example 1: A quarterback completes 44% of his passes. We want to observe this.
  • event (success or failure) trials where p is the probability of success on a trial and q is the probability of failure on the trial.

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