#Discrete Probability Distributions

Comprehensive exploration of normal probability distributions, covering key concepts, properties, and practical applications using z-charts and probability calculations.

Learn to create discrete probability distributions using Excel formulas. Master expected value, standard deviation, charting, and applying these concepts to real-world business scenarios for data-driven decision-making.

Comprehensive exploration of discrete probability distributions, covering key concepts, formulas, and applications for various distribution types in statistics and probability theory.

Explore discrete probability distributions through numerical examples and key concepts, essential for engineering, BSc, and Class 12 mathematics in probability and statistics.

Explore score-based losses as alternatives to maximum likelihood in generative models, examining their statistical efficiency and connections to diffusion algorithms for improved model design.

Master discrete probability concepts through Bernoulli, Binomial, and Geometric random variables, including factorial calculations and cumulative distribution functions.