A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS
Abstract & Details
Research Area
MATHEMATICS
Keywords
RANDOM VARIABLES
PROBABILITY DISTRIBUTIONS
NON-NEGATIVITY
PROBABILITY MASS FUNCTION
BINOMIAL DISTRIBUTION..
Abstract
In machine learning, we often deal with uncertainty and stochastic quantities, due to one of the reasons being incomplete observability therefore, we most likely work with sampled data. Probability theory is a branch of mathematics concerned with the study of random phenomena and is often considered one of the fundamental pillars of machine learning. It is however a huge field to cover and very easy to get lost in, especially when being self-taught. Loosely speaking, the random variable is a variable whose value depends on the outcome of a random event. We can also describe it as a function that maps from the sample space to a measurable space (e.g. a real number). The probability mass function (PMF) describes the probability distribution over a discrete random variable. In other terms, it is a function that returns the probability of a random variable being exactly equal to a specific value.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | NAGENDRAPPA.G | DEPARTMENT OF MATHEMATICS GOVERNMENT FIRST GRADE COLLEGE KORATAGERE TUMKUR DIST KARNATAKA |
How to Cite
Use the following formats to cite this article in your research.
APA Style
NAGENDRAPPA.G (2023). A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS. International Journal of Advance Research and Innovative Ideas In Education, 9(1), 1176-1182.
MLA Style
NAGENDRAPPA.G. "A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, 2023, pp. 1176-1182.
IEEE Style
NAGENDRAPPA.G, "A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, pp. 1176-1182, 2023.
Vancouver Style
NAGENDRAPPA.G. A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(1):1176-1182.
Harvard Style
NAGENDRAPPA.G (2023) 'A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS', International Journal of Advance Research and Innovative Ideas In Education, 9(1), pp. 1176-1182.
Chicago Style
NAGENDRAPPA.G. "A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1176-1182.
Turabian Style
NAGENDRAPPA.G. "A BRIEF ANALYSIS ABOUT RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1176-1182.
Related Research
EFFECTIVENESS OF THE BLOCK METHOD IN IMPROVING STUDENTS PROBLEM-SOLVING SKILLS IN MATHEMATICS: AN EXPERIMENTAL STUDY
PDF Unavailable
Predicting Mathematics Achievement Through Critical Thinking and Self Learning Efficacy Among grade 11 STEM students.
PDF Unavailable
INFLUENCE OF STUDENTS' GENERATIVE ARTIFICIAL INTELLIGENCE UTILIZATION ON THE EMOTIONS IN MATHEMATICS LEARNING
PDF Unavailable
Effects of Differentiated Instruction on Student Academic Achievement in Mathematics: A Quasi-Experimental Study
PDF Unavailable
Teaching Strategies in Improving Students’ Engagement and Academic Achievement in Mathematics: A Quasi Experimental Study
PDF Unavailable