Discrete Probability Distributions Applications in Data Science
Chapter Highlights
• Discrete probability distributions that are critical to decision making in data analysis.
• Random variables, the concept of probability distribution, and discrete distribution
• The expected value or the mean, variance, and standard deviation of discrete probability distributions
• Problems involving binomial distributions using the binomial formula, binomial table, and computer packages
• Problems involving Poisson distributions using the Poisson distribution formula, table, and computer packages
• Introduction to the other discrete distributions: Hypergeometric negative binomial, geometric, and discrete uniform distributions
Introduction: What ...
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