Topic 4: Discrete Probability Distribution PDF
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Les Roches
Dr. Ahmed Bakri, Dr. Krisztina Soreg & Mr. Antonio Moya
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Summary
This document is a presentation on discrete probability distribution in data analytics. It covers the definition of random variables, different types, and characteristics of probability distributions. It details calculations regarding mean, variance, and standard deviation. Binomial probability distribution and related calculations are also explored.
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Dr. Ahmed Bakri, Dr. Krisztina Soreg & Mr. Antonio Moya o o o o σ σ = 2 = 1.290 = 1.135 P(0)= n C x ( ) x (1 − ) n − x = 5 C0 (0.20) 0 (1 − 0.20) 5−0 = (1)(1)(.3277) = 0.3277 P(1)= n C x ( ) x (1 − ) n − x = 5 C1 (0.20)1 (1 − 0.20) 5−1 = (5)(0.20)(.4096) = 0.4096 P(X>2)= 1-P(X≤2) opposit...
Dr. Ahmed Bakri, Dr. Krisztina Soreg & Mr. Antonio Moya o o o o σ σ = 2 = 1.290 = 1.135 P(0)= n C x ( ) x (1 − ) n − x = 5 C0 (0.20) 0 (1 − 0.20) 5−0 = (1)(1)(.3277) = 0.3277 P(1)= n C x ( ) x (1 − ) n − x = 5 C1 (0.20)1 (1 − 0.20) 5−1 = (5)(0.20)(.4096) = 0.4096 P(X>2)= 1-P(X≤2) opposite
