Random Variable (Full Note)
This comprehensive set of notes on Random Variables provides a detailed and structured overview of essential concepts. The notes cover the basic definitions and types of random variables, their support, and introduce key functions like the probability mass function (PMF), probability density function (PDF), and cumulative distribution function (CDF), along with their important properties. It also includes discussions on Bernoullian trials, measures of central tendency and dispersion, as well as moments, skewness, and kurtosis. Lastly, the notes explore inequalities related to random variables, making it an excellent resource for students or professionals looking for a deep understanding of these foundational statistical concepts.
Written for
- Institution
- University Of Calcutta
- Course
- STSA-002
Document information
- Uploaded on
- September 7, 2024
- Number of pages
- 55
- Written in
- 2023/2024
- Type
- OTHER
- Person
- Unknown
Subjects
-
random variable
-
pdf
-
pmf
-
distribution function