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- The Inverse Normal Distribution
The Inverse Normal Distribution
The inverse normal function works backwards: given a probability, it finds the value of X that produces it. This answers questions like “what mark is the top 10% boundary?”.
What you'll be able to do
- Use the inverse normal function
- Find a value of X from a probability
- Handle “greater than” probabilities
- Apply to percentile questions
Working backwards
Given , the inverse normal function returns . Enter the probability (as area to the left), and .
Example 1For , find the value such that .
Tip — For “top 10%”, the area to the LEFT is 0.9 — convert before using InvNorm.
Formula recap
Common mistakes to avoid
Key takeaways
- Inverse normal: given p, find a with P(X < a) = p.
- Convert right-tail probabilities to left areas first.
- Useful for percentile / boundary questions.
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.
The inverse normal function finds:
- a value from a probability
- a probability from a value
- the mean
- the variance
Show answer and explanation
Answer: a value from a probability
Works backwards.
InvNorm uses the area to the:
- left
- right
- middle
- either
Show answer and explanation
Answer: left
Cumulative from the left.
For “top 10%”, the left area to enter is:
Show answer and explanation
Answer:
1 − 0.1.
For , the value with is about:
Show answer and explanation
Answer:
InvNorm(0.9,50,4).
You must also supply the function with:
- μ and σ
- only p
- n and p
- the median
Show answer and explanation
Answer: μ and σ
Distribution parameters.
Check your understanding
Work through questions on The Inverse Normal Distribution. Use the feedback to decide what needs another look.
2 past-paper questions · 7 marks
Related lessons
All 7 lessons- Same chapterThe Normal DistributionShape, parameters and key features.
- Same chapterFinding ProbabilitiesProbabilities as areas under the curve.
- Same chapterThe Standard Normal DistributionZ ~ N(0,1) and standardising.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.