In this chapter, you will learn about the fundamentals of discrete probability through looking at examples of sampling from an urn with and without replacement.

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2

Independence and Multiplication Rule

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In this chapter, you will learn about independence, conditional probability, and the multiplication rule through examples involving draws from an urn, rolls of a die, and sports series wins.

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3

The Addition Rule

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In this chapter, you will learn about the addition rule and the Monty Hall problem.

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4

Continuous Probability

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In this chapter, you will learn about continuous probability through the use of examples involving the distribution of heights and IQ scores.

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5

Random Variables and Sampling Models

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In this chapter, you will learn about random variables and sampling models exploring an example looking at various aspects of the game of chance American Roulette.

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6

The Central Limit Theorem

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In this chapter, you will learn about the Central Limit Theorem and compare results from Monte Carlo simulations to those obtained using the Central Limit Theorem for games of chance.

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7

The Big Short

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In this chapter, you will learn about interest rates and the big short.