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Related lectures (31)

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Variance of Random Variables

Covers the concept of variance for random variables and introduces calculation rules.

Bit Error Rate and Receiver Sensitivity

Explores bit error rate and receiver sensitivity in optical communication systems, covering BER, receiver sensitivity, probability density functions, and error probability calculations.

Discrete Random Variables: Functions and Probabilities

Explores discrete random variables, their functions, and probabilities in various scenarios.

Linear Regression: Theory and Applications

Covers the theory and practical applications of linear regression.

Probability Theory: Discrete Random Variables

Covers discrete random variables, probability mass function, properties, and binomial distribution with illustrative examples.

Signal Processing: Filter Synthesis and Random Variables

Explores filter synthesis methods and the role of random variables in measurement systems.

Exercise 2: Series 22

Covers the solution of exercise 2 from series 22.

Calculations of Expectation

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Discrete Random Variables

Covers properties and transformations of discrete random variables, focusing on PMF and expectation.

Statistics for Data Science: Basics and Modelling

Introduces statistical modelling basics, probability theory, and key concepts for data science applications.