Introduction to Probability and Statistics A
Course topics
(1) Probability space.(2) Conditional probability, independent events, Bayes’s theorem, complete probabilities.(3) Random discrete variable, discrete distributions: uniform, binomial, geometric, hypergeometric, negative binomial, Poisson.(4) Random continuos variable, continuos distributions: uniform, exponential, normal.(5) Random discrete two dimensional variable, independence of variables.(6) Mean, variance, correlation coefficient.(7) Chebyshev inequalitiy, large numbers law.(8) Central Limit Theorem, normal approximation.
Course Information
- University course catalogue:
- 201.1.9091
- Level:
- Service
- Credits:
- 2.5
Recently Given
- 2024–25–A (Dr. Luba Sapir)
- 2023–24–A (Dr. Natalia Karpivnik)
- 2022–23–A (Dr. Luba Sapir)
- 2021–22–B (Dr. Luba Sapir)
- 2021–22–A (Dr. Luba Sapir)
- 2020–21–B (Dr. Matan Ziv-Av)
- 2020–21–A (Dr. Luba Sapir)
- 2019–20–A (Dr. Luba Sapir)
- 2018–19–B
- 2018–19–A (Dr. Luba Sapir)
Departments
- Chemical engineering
- Material engineering
- Faculty - Engineering
- Faculty - Natural sciences
- Geology
- Brain and Cognitive Sciences