Experiments of Chance
Random processes whose outcomes are uncertain.
Key idea
Random processes whose outcomes are uncertain.
In depth
A random experiment has outcomes that cannot be predicted individually but follow long-run patterns. Defining the experiment clearly (what is observed) is the first step in any probability problem.
Worked example
Rolling a die has outcomes 1–6; the experiment is not the same as flipping a coin.
Real-world uses
- Modelling coin flips, dice games and random quality checks in factories
Common mistake
Starting calculations before defining the outcomes.
How to learn this
- Read the key idea and say it in your own words.
- Work through the worked example, then try a similar problem.
- Use the interactive lesson’s visual and mini-quiz to check the pattern.
Frequently asked questions
What is Experiments of Chance?
Random processes whose outcomes are uncertain. It is a topic at the beginner level in Probability & Statistics.
Where is Experiments of Chance used in real life?
Real-world examples: Modelling coin flips, dice games and random quality checks in factories.
What should I learn before Experiments of Chance?
Make sure you are comfortable with Simpson’s Paradox, the previous topic in Probability & Statistics.
What is a common mistake with Experiments of Chance?
Starting calculations before defining the outcomes.
How can I practise Experiments of Chance?
Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.
What comes after Experiments of Chance?
Move on to Sample Space and Events next.
Related beginner topics in Probability & Statistics
- Types of Data – Categorical vs numerical, discrete vs continuous.
- Frequency Tables – Count how often each value occurs.
- Tally Charts and Pictographs – Simple visual summaries of counts.
- Bar Graphs – Compare categories using bars.
- Pie Charts – Show parts of a whole as sectors.
- Line Graphs – Show change over time.