binomial distribution Sentence Examples

  1. In probability theory, the binomial distribution models the number of successes in a fixed number of independent Bernoulli trials.
  2. The statistician explained how to calculate probabilities using the binomial distribution formula.
  3. When flipping a fair coin multiple times, the outcomes follow a binomial distribution with parameters n (number of trials) and p (probability of success).
  4. The researcher used the binomial distribution to analyze the likelihood of different outcomes in their experiment.
  5. In quality control, inspectors often rely on the binomial distribution to assess the proportion of defective items in a sample.
  6. The biologist applied the binomial distribution to study the distribution of genotypes in a population.
  7. Students in a statistics class learned how to plot the probability mass function of a binomial distribution.
  8. The engineer used the binomial distribution to model the reliability of a new electronic component.
  9. A key property of the binomial distribution is that it is discrete and describes the probabilities of a finite number of outcomes.
  10. The psychologist used the binomial distribution to analyze the results of a psychological test with binary outcomes.

binomial distribution Meaning

Wordnet

binomial distribution (n)

a theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success

Synonyms & Antonyms of binomial distribution

No Synonyms and anytonyms found

FAQs About the word binomial distribution

a theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success

No synonyms found.

No antonyms found.

In probability theory, the binomial distribution models the number of successes in a fixed number of independent Bernoulli trials.

The statistician explained how to calculate probabilities using the binomial distribution formula.

When flipping a fair coin multiple times, the outcomes follow a binomial distribution with parameters n (number of trials) and p (probability of success).

The researcher used the binomial distribution to analyze the likelihood of different outcomes in their experiment.