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Probability Distributions
A probability distribution lists every value a random variable can take alongside its probability. Because something must happen, all those probabilities add to 1 — the rule behind most distribution questions.
What you'll be able to do
- Understand a discrete random variable
- Read and build a probability distribution
- Use the fact that probabilities sum to 1
- Find a probability from the distribution
Random variables
A takes specific numerical values, each with a probability. The distribution can be given as a table or as a function .
Probabilities sum to 1
Every probability distribution must satisfy one rule: the probabilities of all possible values add up to . This lets you find a missing probability.
Example 1X takes values 1, 2, 3 with P(1) = 0.2, P(2) = 0.5, P(3) = k. Find k.
Tip — A missing probability is found by making the whole distribution add to 1.
Finding probabilities
To find the probability of a range (e.g. ), add the probabilities of the relevant values. A distribution can also be defined by a formula, which you evaluate at each value.
Example 1For the distribution above, find .
Formula recap
Common mistakes to avoid
Key takeaways
- A probability distribution pairs each value of X with its probability.
- All probabilities sum to 1 (use this to find a missing one).
- For a range, add the relevant probabilities.
Test yourself
Answer a few questions, then review anything you missed.
Check your understanding
Work through questions on Probability Distributions. Use the feedback to decide what needs another look.
6 past-paper questions · 18 marks
Related lessons
All 3 lessons- Same chapterThe Binomial DistributionUnderstanding the binomial distribution and its applications.
- Same chapterCumulative ProbabilitiesCalculating cumulative probabilities for discrete distributions.
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