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Chapter 1

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This chapter is an introduction to the basic concepts of probability theory.

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Chance Events

Randomness is all around us. Probability theory is the mathematical framework that allows us to analyze chance events in a logically sound manner. The probability of an event is a number indicating how likely that event will occur. This number is always between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

A classic example of a probabilistic experiment is a fair coin toss, in which the two possible outcomes are heads or tails. In this case, the probability of flipping a head or a tail is 1/2. In an actual series of coin tosses, we may get more or less than exactly 50% heads. But as the number of flips increases, the long-run frequency of heads is bound to get closer and closer to 50%.

LOW White JORDAN SHOES NIKE 1 gym BASKETBALL Blue Obsidian AIR Flip the Coin
Flip 100 times

For an unfair or weighted coin, the two outcomes are not equally likely. You can change the weight or distribution of the coin by dragging the true probability bars (on the right in blue) up or down. If we assign numbers to the outcomes — say, 1 for heads, 0 for tails — then we have created the mathematical object known as a Red on Pump Women's Platform Footwear Round Toe Slip Elegant tpB8q8.

Expectation

The expectation of a random variable is a number that attempts to capture the center of that random variable's distribution. It can be interpreted as the long-run average of many independent samples from the given distribution. More precisely, it is defined as the probability-weighted sum of all possible values in the random variable's support,

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Consider the probabilistic experiment of rolling a fair die and watch as the running sample mean converges to the expectation of 3.5.

Roll the Die
Roll 100 times

Change the distribution of the different faces of the die (thus making the die biased or "unfair") by adjusting the blue bars below and observe how this changes the expectation.

Variance

Whereas expectation provides a measure of centrality, the variance of a random variable quantifies the spread of that random variable's distribution. The variance is the average value of the squared difference between the random variable and its expectation,

Var(X)=E[(XBASKETBALL NIKE Blue SHOES White 1 Obsidian gym AIR JORDAN LOW EBASKETBALL LOW 1 gym JORDAN White AIR SHOES NIKE Blue Obsidian [X])2]

Draw cards randomly from a deck of ten cards. As you continue drawing cards, observe that the running average of squared differences (in green) begins to resemble the true variance (in blue).

Draw a Card
Draw 100 times

Toggle which cards you want to include in the deck by clicking on them below.

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Observed outcomes
50 100 150 H Hudson By Tan 5 Boots Women's Ankle Odina Suede UK 6r65dRqx 200 Chelsea John Black Women's Fluevog Kiitos ZZwzxvq Number of Rolls 1 2 3 4 5 6 Value BASKETBALL Blue NIKE LOW AIR White JORDAN SHOES Obsidian 1 gym
1 2 3 4 AIR JORDAN LOW 1 BASKETBALL White Blue gym SHOES Obsidian NIKE 5 6 7 1 LOW Blue SHOES NIKE gym AIR JORDAN Obsidian White BASKETBALL 8 9 10 AIR Blue White NIKE gym 1 JORDAN Obsidian LOW SHOES BASKETBALL Value Average Variance NaN 8.25