Chapter 1
The Poisson Distribution
Model rare events, calculate Poisson probabilities, cumulative probabilities, and approximations where suitable.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-01-the-poisson-distribution
Cambridge 9709 Paper 6. This course page connects the printed workbook to chapter learning pages, worked solutions, interactive practice, future videos, and progress tracking.
Cambridge A2
/courses/book-10-a2-9709-paper-6
/workbooks/book-10-a2-9709-paper-6/exports/book-10-a2-9709-paper-6.pdf
4 slots per chapter
This page is connected to the shared DeepMaths pathway: workbook, chapter theory, worked examples, practice, hints, AI Tutor, worked solutions, challenge questions, quiz and progress update.
/courses/book-10-a2-9709-paper-6
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Student pathway
01
Workbook chapter is opened or assigned.
02
Chapter page is opened.
03
Theory sections are marked complete.
04
Worked-example section is marked complete.
05
Scored practice attempt is saved.
06
Hint stage can be logged for future review.
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AI request can be saved when teacher review is enabled.
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Solution review can be recorded later.
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Challenge section is marked complete.
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Quiz result is recorded.
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Progress state updates the dashboard and teacher analytics.
Cross-book connections
Fun Maths Book 1 is the next workbook this course prepares students for.
The online course supports students after they have engaged with the workbook. The platform is structured to encourage independent thinking before additional support is opened.
Chapter map
Chapter 1
Model rare events, calculate Poisson probabilities, cumulative probabilities, and approximations where suitable.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-01-the-poisson-distribution
Chapter 2
Use expectation and variance for sums, differences, and normal linear combinations.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-02-linear-combinations-and-normal-models
Chapter 3
Understand sample means, standard errors, unbiased estimates, confidence intervals, margin of error, sample size, and interpretation.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-03-sampling-estimation-and-confidence-intervals
Chapter 4
Set up and carry out one-tail and two-tail tests with clear conclusions.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-04-hypothesis-testing-with-the-normal-distribution
Chapter 5
Use binomial and Poisson tests, actual significance, Type I/II error, power, and valid approximations.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-05-hypothesis-testing-with-other-models
Chapter 6
Use pdfs, constants, intervals, expectation, variance, and percentiles by direct area.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-06-continuous-random-variables
Chapter 7
Choose distributions, justify approximations, and interpret modelling decisions.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-07-approximations-and-modelling-decisions
Chapter 8
Complete multi-topic Paper 6 sets with distribution choice and interpretation.
deepmaths.co.nz/courses/book-10-a2-9709-paper-6/chapters/chapter-08-s2-mixed-practice
14 learning sections
Future Connection on chapter pages
Question-pause-think lesson model
4 assessment types
10 resource slots
4 multimedia slots
Each chapter page now identifies what the current topic prepares students for later: algebra, functions, trigonometry, calculus, statistics, proof, modelling or exam synthesis.
The standard lesson pattern is question, pause, student thinking, explanation, practice and feedback. The platform is being shaped around active reasoning rather than passive video watching.