jacques bernoulli Antonyms
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Meaning of jacques bernoulli
Wordnet
jacques bernoulli (n)
Swiss mathematician (1654-1705)
jacques bernoulli Sentence Examples
- Jacques Bernoulli was a Swiss mathematician who made significant contributions to the field of probability theory.
- Bernoulli's most famous work is Ars Conjectandi, which was published posthumously in 1713 and is considered a founding work in probability theory.
- Bernoulli introduced the concept of mathematical expectation, which is the average value of a random variable.
- He also developed the law of large numbers, which states that the sample average of a large number of independent, identically distributed random variables converges to the expected value of the random variable.
- Bernoulli's work on probability theory had a profound impact on the development of statistics and is still used today in a wide variety of fields.
- In addition to his work on probability, Bernoulli also made contributions to number theory and calculus.
- He was the first to discover the exponential distribution, which is a continuous probability distribution that describes the waiting time between events in a Poisson process.
- Bernoulli also developed a method for solving differential equations, which is known as the Bernoulli differential equation.
- He was a member of the Bernoulli family, which was a prominent family of mathematicians in the 17th and 18th centuries.
- Jacques Bernoulli is considered one of the most important mathematicians of the 17th century and his work has had a lasting impact on the development of mathematics.
FAQs About the word jacques bernoulli
Swiss mathematician (1654-1705)
No synonyms found.
No antonyms found.
Jacques Bernoulli was a Swiss mathematician who made significant contributions to the field of probability theory.
Bernoulli's most famous work is Ars Conjectandi, which was published posthumously in 1713 and is considered a founding work in probability theory.
Bernoulli introduced the concept of mathematical expectation, which is the average value of a random variable.
He also developed the law of large numbers, which states that the sample average of a large number of independent, identically distributed random variables converges to the expected value of the random variable.
