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An experiment with only two outcomes ("success" and "failure"), a constant probability of success, a number of independent trials.
Then, if the probability of a success in a trial is p, the probability of r successes in n trials is
nCr*pr*(1-p)(n-r) for r = 0, 1, 2, ..., n.
In case the super-and sub-scripts do not work, that is
n!/[r!*(n-r)!]*p^r*(1-p)^(n-r)
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What are uses of binomial distribution in psychology?
what are the uses of binomial distribution
What are mean and variance of negative binomial distribution by conclusion?
what is meant by a negative binomial distribution what is meant by a negative binomial distribution
How do you do binomial distribution?
You distribute the binomial.
What is the shape of the binomial probability distribution in rolling a die?
The distribution depends on what the variable is. If the key outcome is the number on the top of the die, the distribution in multinomial (6-valued), not binomial. If the key outcome is the number of primes, composite or neither, the distribution is trinomial. If the key outcome is the number of sixes, the distribution is binomial with unequal probabilities of success and failure. If the key outcome is odd or even the distribution is binomial with equal probabilities for the two outcomes. Thus, depending on the outcome of interest the distribution may or may not be binomial and, even when it is binomial, it can have different parameters and therefore different shapes.
For the normal distribution does it always require a continuity correction?
Use the continuity correction when using the normal distribution to approximate a binomial distribution to take into account the binomial is a discrete distribution and the normal distribution is continuous.
