A fair coin has 2 sides (heads and tails) that are equally likely to show when the coin is flipped. What is the theoretical probability that a fair coin lands on heads?

The probability can be calculated using the binomial probability formula, which involves combinations. The formula is P (X=k) = (n choose k) * p^k * (1-p)^ (n-k), where n is the total number of trials (flips), …

In this video, we 'll explore the probability of getting at least one heads in multiple flips of a fair coin.

One probability rule that's very useful in genetics is the product rule, which states that the probability of two (or more) independent events occurring together can be calculated by multiplying the individual …

In this video, we explore the classic conditional probability problem involving a person who doesn't always tell the truth. We'll analyze a scenario where a person tosses a coin and reports the outcome, …

- [Voiceover] Let's define a random variable x as being equal to the number of heads, I'll just write capital H for short, the number of heads from flipping coin, from flipping a fair coin, we're gonna assume it's …

We're thinking about the probability of rolling doubles on a pair of dice. Let's create a grid of all possible outcomes.

We're thinking about how the probability of an event can be dependent on another event occuring in this example problem.

Sal breaks down how to create the probability distribution of the number of "heads" after 3 flips of a fair coin.

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