binomial distribution (Meaning)
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
binomial distribution Sentence Examples
- 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.
- In quality control, inspectors often rely on the binomial distribution to assess the proportion of defective items in a sample.
- The biologist applied the binomial distribution to study the distribution of genotypes in a population.
- Students in a statistics class learned how to plot the probability mass function of a binomial distribution.
- The engineer used the binomial distribution to model the reliability of a new electronic component.
- A key property of the binomial distribution is that it is discrete and describes the probabilities of a finite number of outcomes.
- The psychologist used the binomial distribution to analyze the results of a psychological test with binary outcomes.
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.
