Probability and Statistics 1: The Complete Guide
Learn everything fast through concise yet contented lectures
What you’ll learn
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representation and characterisation of data
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elementary probability theory
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combinatorics
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rules for computing probabilities
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conditional probability and independence of events
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discrete random variables and their probability distributions
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expectation value of a discrete random variable
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examples of discrete random variables
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moment generating functions
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continuous random variables and their probability distributions
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expectation value of a continuous random variable
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examples of continuous random variables
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Chebyshev’s theorem
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bivariate probability distributions
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expectations of functions of random variables
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covariance
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independent random variables
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sums of independent random variables
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hypothesis testing
Requirements
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Basic Calculus, particularly simple differentiation and integration 🙂
Who this course is for:
- high school students
- university students
- courses that require probability and statistics (e.g. computer science, and other sciences)
