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CS1: Lecture 1: Random Variables
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CS1: Chapter 1- Lecture 1: Uniform and Binomial Distribution
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CS1: Chapter 1- Lecture 2: Geometric, Negative Binomial, Poisson, Hyper-geometric distributions
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CS1: Chapter 1- Lecture 3: Continuous Uniform& Exponential Distribution
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CS1: Chapter 1- Lecture 4: Gamma& Chi-square distributions
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CS1: Chapter 1 - Lecture 5: Beta, Normal and Log-normal Distributions.
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CS1: Chapter 1- Lecture 6: F & t distributions
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CS1 - Chapter 1 - Monte Carlo Simulation
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Calculator Tutorial 1: Casio 82 ES+ for Actuarial Students- detailed features
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Calculator Tutorial 2: Statistics Mode on Casio 82ES+
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Calculator Tutorial 3: Table Mode on Casio 82ES+
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CS 1: Actuarial Statistics 1: Probability Basics
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CS1: Actuarial Statistics 1: Statistics Basics (Central Tendency, Spread, Skewness- with logic)
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CS1: Simulating Values in R
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CS1: Data Analysis - Scatter Plots
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CS1: Data Analysis - Scatter Plots
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Central Limit theorem - Derived & Explained Intuitively (CS1)
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Maximum Likelihood Estimation - Derived & Explained Intuitively
Description:
Explore a comprehensive 9-hour lecture series on Actuarial Statistics 1, covering essential topics from random variables to maximum likelihood estimation. Begin with prerequisite lectures on random variables, probabilities, and statistics before delving into uniform, binomial, geometric, negative binomial, Poisson, and hypergeometric distributions. Progress through continuous uniform, exponential, gamma, chi-square, beta, normal, log-normal, F, and t distributions. Learn about Monte Carlo simulation, data analysis techniques, and the Central Limit Theorem. Master practical skills with calculator tutorials for Casio 82 ES+ and discover how to simulate values in R. Gain a deep understanding of probability basics, statistical concepts, and intuitive explanations of complex theories, preparing you for success in actuarial examinations and real-world applications.

Actuarial Statistics 1

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