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Moment Generating Function, Mean and Variance of Geometric Distribution

This video gives a complete explanation on the expectation (mean) and variance of the Geometric Distribution using the Moment Generating Function (MGF). In this video, you'll learn the step by step derivation of the Expectation (E[X]) and Variance (Var(X)) using Moment Generating Function. You'll also learn how to input the Expectations (E[X]) obtained from the Geometric Distribution into the Variance formula to get the Expectation (E[X]) and Variance (Var(X)) of the Moment Generating Function. You''ll also learn how to write the probability mass function (PMF) of Geometric Distribution. By the end of this video, you'll have a clear understanding of how to use the Moment Generating Function to compute the Expectation (Mean) and Variance of the Geometric Distribution. Whether you're studying for exams or simply want to understand the math behind probability distributions, this video will be a valuable resource! Don't forget to Subscribe, like and share for more educational content on probability theory and statistics! Need a Tutor? Join our WhatsApp group, link below: https://l1nk.dev/8KNNf Send a Message on WhatsApp http://wa.me/+2348035415248 https://wa.me/+2348023548354 Subscriber Link https://rb.gy/ewtolh TikTok   / content_academy   #GeometricDistribution #Expectation #Variance #MomentGeneratingFunction #MGF #Statistics #ProbabilityTheory #MathTutorial #GeometricDistributionDerivation