BINOM.INV(trials,probability_s,alpha)
BINOM.DIST(number_s,trials,probability_s,cumulative)

What is the binomial distribution probability?

The binomial distribution probability gives the likelihood of a specific number of successes occurring in a fixed number of independent trials, each having the same binary success/failure probability.

What is an independent trial in terms of binomial distribution?

An independent trial in the context of the binomial distribution refers to each individual test or instance having two possible outcomes, success or failure, in which the result of one trial does not affect the probability of success in subsequent trials.

What is a binary success/failure probability?

A binary success/failure probability describes two mutually exclusive possible outcomes of a trial, conventionally labeled as "success" with probability p and "failure" with probability 1-p, that sum to 1, like heads or tails on a coin flip.

What is binomial?

The binomial is a discrete probability distribution that models the number of successes in a fixed number of independent trials, each with a binary success/failure outcome and a constant success probability across trials.

What is a distribution in statistics?

A distribution in statistics refers to a function representing the frequencies of different potential outcomes for a random variable or dataset, summarized visually in a histogram or mathematically with a probability distribution function.

BINOM.INV function Syntax

BINOM.INV(trials,probability_s,alpha)

BINOM.INV function Arguments

trials	Required. How many Bernoulli trials.
probability_s	Required. The probability of success in each test.
Alpha	Required. The threshold value.

What are Bernoulli trials?

Bernoulli trials are random experiments with binary outcomes labeled success or failure that remain constant across trials and are independent, meaning the result of one trial does not affect the next, named after Swiss mathematician Jakob Bernoulli.

BINOM.INV function example

Formula in cell C7:

BINOM.INV function not working

The BINOM.INV function returns

• #VALUE! error value if any argument is non-numeric.
• #NUM! error value if:
  • trials < 0 (zero)
  • probability_s < 0 (zero)
  • alpha < 0 (zero)
  • alpha > 1