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- The Normal Distribution
- Finding Probabilities
Finding Probabilities
Probabilities for a normal distribution are areas under the curve. Modern calculators compute these directly — you enter μ, σ and the interval, and read off the probability.
What you'll be able to do
- Find P(X < a), P(X > a), P(a < X < b)
- Use the calculator’s normal CD function
- Exploit symmetry
- Interpret probabilities as areas
Probabilities as areas
For a continuous distribution, is the area under the curve to the left of . Because the distribution is continuous, , so .
Example 1For , describe finding .
Tip — P(X > a) = 1 − P(X < a); use symmetry to check answers.
Formula recap
Common mistakes to avoid
Key takeaways
- Probabilities are areas under the curve.
- P(X > a) = 1 − P(X < a); intervals subtract.
- Calculators take μ and σ (not σ²).
Test yourself
Answer a few questions, then review anything you missed.
Prefer paper? Open the written self-check
Answer each question before opening its answer. This self-check does not record a quiz score.
For a continuous distribution, P(X = a) is:
- undefined
Show answer and explanation
Answer:
Single point.
equals:
Show answer and explanation
Answer:
Complement.
A probability for a normal distribution represents:
- an area under the curve
- a height
- a gradient
- a count
Show answer and explanation
Answer: an area under the curve
Continuous distribution.
equals:
Show answer and explanation
Answer:
Subtract areas.
A calculator’s normal function takes:
- μ and σ
- μ and σ²
- only σ
- n and p
Show answer and explanation
Answer: μ and σ
Standard deviation.
Check your understanding
Work through questions on Finding Probabilities. Use the feedback to decide what needs another look.
6 past-paper questions · 10 marks
Related lessons
All 7 lessons- Same chapterThe Normal DistributionShape, parameters and key features.
- Same chapterThe Inverse Normal DistributionFinding a value from a given probability.
- Same chapterThe Standard Normal DistributionZ ~ N(0,1) and standardising.
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