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Elan Coil [88]
2 years ago
13

A distribution of probabilities for random outcomes of a bivariate or dichotomous random variable is called a Group of answer ch

oices binomial probability distribution distribution of expected values random variable distribution mathematical expectation
Mathematics
1 answer:
slega [8]2 years ago
5 0

A distribution of probabilities for random outcomes of bivariate or dichotomous random variables is called (A) binomial probability distribution.

<h3>What is a binomial probability distribution?</h3>
  • The binomial distribution with parameters n and p in probability theory and statistics is the discrete probability distribution of the number of successes in a succession of n separate experiments, each asking a yes-no question and each with its own Boolean-valued outcome: success or failure.
  • The binomial distribution is widely used to describe the number of successes in a sample of size n selected from a population of size N with replacement.
  • If the sampling is done without replacement, the draws are not independent, and the resulting distribution is hypergeometric rather than binomial.
  • Binomial probability distribution refers to a distribution of probabilities for random outcomes of bivariate or dichotomous random variables.

As the description itself says, binomial probability distribution refers to a distribution of probabilities for random outcomes of bivariate or dichotomous random variables.

Therefore, a distribution of probabilities for random outcomes of bivariate or dichotomous random variables is called (A) binomial probability distribution.

Know more about binomial probability distribution here:

brainly.com/question/9325204

#SPJ4

Complete question:

A distribution of probabilities for random outcomes of bivariate or dichotomous random variables is called a ______.

Group of answer choices

(A) binomial probability distribution

(B) distribution of expected values

(C) random variable distribution

(D) mathematical expectation

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Therefore, <em><u>angle 2 =72°</u></em><em><u>.</u></em>

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