Applications & Interpretation HL · Topic 4 · Statistics & Probability

IB Math AI HL Normal Distribution Worksheet (questions only)

The normal model: probabilities, inverse normal, standardising, and finding unknown mean or standard deviation.

23 pages · 120 marks · questions only · free PDF for IB Mathematics: Applications and Interpretation HL students.

23pages
120marks
3difficulty levels
Nosolutions included
T4Statistics & Probability

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What this AI HL normal distribution worksheet covers

The normal model: probabilities, inverse normal, standardising, and finding unknown mean or standard deviation. The questions follow the order of the AI HL syllabus for Topic 4 (Statistics & Probability) and are graded in three bands — routine practice, exam-standard, and the harder multi-step questions that separate a 6 from a 7.

P(X < a), P(a < X < b) with the GDC
Inverse normal for percentiles and cut-offs
Standardising with z = (x − μ)/σ
Finding μ or σ from given probabilities
Exam tip for this topic. Draw the bell curve and shade the region for every question — it makes the correct inequality obvious.

Preview

How to use it

  1. Do the first band without the AI HL formula booklet, then check which formulas you had to look up — those are the ones to memorise.
  2. Time the second band at roughly 1.2 minutes per mark, the pace of Paper 1 and Paper 2.
  3. For the third band, compare your method with the matching questions in the AI HL question bank; if you want this set marked, send it to Mr Ahmad.

More AI HL worksheets on Statistics & Probability

✓ = solutions included

The same topic for other courses

Questions

Is this AI HL normal distribution worksheet free?

Yes — download the PDF with no sign-up. It is one of over 130 free IB Math worksheets on this site, written to match the current syllabus.

Does it come with answers?

This set is questions only. If you would like it marked, or want the matching solutions, contact Mr Ahmad.

Which IB course is it for?

IB Mathematics: Applications and Interpretation HL. The same topic is also available for the other courses where it is on the syllabus — see the links above.

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