May 13, 2022 · This tutorial provides several examples of how conditional probability is used in real life situations.

Let us understand conditional probability with an example. Let us find the conditional probability of getting at least two tails given that it is a head on the first toss when 3 coins are tossed.

Example: Tossing a coin. Each toss of a coin is a perfect isolated thing. What it did in the past will not affect the current toss. The chance is simply 1-in-2, or 50%, just like ANY toss of the coin. So each …

Dec 6, 2025 · Conditional probability defines the probability of an event occurring based on a given condition or prior knowledge of another event. It is the likelihood of an event occurring, given that …

Conditional probability could describe an event like: Event A is that it is raining outside, and it has a 0.3 (30%) chance of raining today. Event B is that you will need to go outside, and that has a probability …

Nov 17, 2025 · For dependent events, the conditional probability is affected by another event. For independent events, the conditional probability remains the same regardless of other events.

Conditional probabilities allow you to evaluate how prior information affects probabilities. For example, what is the probability of A given B has occurred? When you incorporate existing facts into the …

Examples on using the definition of conditional probabilities to solve problems are presented along with detailed solutions. More questions and their solutions are also included.

May 21, 2025 · Conditional probability in statistics measures the probability that a certain event will occur based on the occurrence (or non-occurrence) of other, related events. It has wide applications …

Conditional probability is the probability of an event occurring based on the occurrence of another event. Conditional probability is a fundamental aspect of probability theory. Conditional probability questions …