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Random Experiment

A random experiment is an action or process in probability where the exact outcome cannot be predicted with certainty beforehand, even though all possible outcomes are known. It forms the foundational basis for calculating theoretical probability.

Key Concepts

An experiment is considered random only if it has more than one possible outcome.
The exact result of any single trial of the experiment cannot be predicted in advance.
The complete collection of all possible outcomes of a random experiment is known as the sample space.

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Common Misconceptions

Myth: If an experiment is random, all of its outcomes must have an equal chance of occurring.
Fact: A random experiment only requires that the outcome is unpredictable and has multiple possibilities. The outcomes do not have to be equally likely, though many basic Class 10 probability problems assume equally likely outcomes.

Real World Applications

Tossing a fair coin is a random experiment because the outcome can be either heads or tails, but we cannot predict which one will appear on a specific toss.
Drawing a single card from a well-shuffled playing card deck is a random experiment because you know it will be one of 52 cards, but you cannot predict exactly which one.

Frequently Asked Questions

What is the difference between a random experiment and a deterministic experiment?
A deterministic experiment always produces the exact same result under identical conditions, whereas a random experiment produces different, unpredictable outcomes even when repeated under the same conditions.
What are the conditions for an experiment to be called a random experiment?
It must have more than one possible outcome, and it must be impossible to predict the exact outcome of a specific trial in advance.

Keep Learning

ProbabilitySample SpaceEqually Likely Outcome