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COMPLETING PRACTICAL PROBLEMS INVOLVING A SEQUENCE OF INDEPENDENT TESTS, BERNOULLI SCHEMES, AND LIMIT THEOREMS

Abstract

In this article, we consider practical problems related to a sequence of independent trials, the Bernoulli scheme, and limit theorems in probability theory. Particular attention is paid to the application of these mathematical models in solving probability problems and analyzing random processes. In this paper, we explore the fundamental theoretical principles of the Bernoulli scheme, the conditions for independent trials, and their role in the formation of the binomial distribution. Limit theorems, which allow us to describe the behavior of probability variables over a large number of trials, are also considered. Examples of practical problems are provided demonstrating the use of these methods in educational processes and applied research.

Keywords

probability theory, independent trials, bernoulli scheme, binomial distribution, event probability, limit theorems, law of large numbers, central limit theorem, random variables, mathematical statistics.

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References

  1. Вентцель Е.С. Теория вероятностей. – Москва: Высшая школа, 2010. – 576 с.
  2. Гнеденко Б.В. Курс теории вероятностей. – Москва: Наука, 2007. – 448 с.
  3. Феллер В. Введение в теорию вероятностей и её приложения. – Москва: Мир, 2016. – 752 с.
  4. Ross S. A First Course in Probability. – 10th ed. – Boston: Pearson Education, 2019. – 560 p.
  5. Montgomery D., Runger G. Applied Statistics and Probability for Engineers. – 7th ed. – New York: Wiley, 2018. – 768 p.
  6. Walpole R., Myers R., Myers S., Ye K. Probability and Statistics for Engineers and Scientists. – 9th ed. – Pearson, 2017. – 816 p.
  7. Binomial Distribution – GeeksforGeeks. Available at: https://www.geeksforgeeks.org/binomial-distribution/
  8. Binomial Distribution Guide – Statistical Calculators. Available at: https://statistical-calculators.site/blog/binomial-distribution-guide
  9. De Moivre–Laplace Theorem – Wikipedia. Available at: https://en.wikipedia.org/wiki/De_Moivre%E2%80%93Laplace_theorem
  10. Central Limit Theorem – Khan Academy. Available at: https://www.khanacademy.org/math/statistics-probability

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