Pinned import data/frameworks/acara-v9.json; source official workbook SHA-256 db446882d2c00cf7c085a03e250e2442fda6c44011fc114680c46c1dc7a822c3. Wording below is verbatim from Year 10 content-description rows; selecting a row does not certify full achievement.
| Code | Level · workbook row | Exact content description | Days | Partial boundary |
|---|---|---|---|---|
AC9M10P01 |
Year 10 · 18502 | use the language of “if ... then”, “given”, “of”, “knowing that” to describe and interpret situations involving conditional probability | 17, 20 | Days 17/20 use “given/of” and conditional probability only under a uniform random choice from the finite fictional register. They do not teach the full conditional-probability strand. |
AC9M10ST01 |
Year 10 · 18471 | analyse claims, inferences and conclusions of statistical reports in the media, including ethical considerations and identification of potential sources of bias | 13, 14, 15, 18, 19, 20 | Days 13–15 and 18–20 critique fictional promotional/statistical claims and selected groups. This is not a review of real current media reports or all ethical issues. |
AC9M10ST03 |
Year 10 · 18485 | construct scatterplots and comment on the association between the 2 numerical variables in terms of strength, direction and linearity | 11, 12, 13, 15 | Days 11–13 and 15 construct/read one invented scatterplot, direction and approximate linearity. Strength is qualitative; diverse associations and formal modelling need further work. |
AC9M10ST04 |
Year 10 · 18492 | construct two-way tables and discuss possible relationship between categorical variables | 16, 17, 18, 19, 20 | Days 16–20 build and interpret two-way tables with a retained unassigned category. Additional categorical contexts and causal inference remain open. |
AC9M10ST05 |
Year 10 · 18496 | plan and conduct statistical investigations of situations that involve bivariate data; evaluate and report findings with consideration of limitations of any inferences | 11, 14, 19 | Days 11/14 plan an inclusion/question rule; Day 19 conducts a paper classification of 12 constructed bivariate records and reports limitations. No real sampling, participant data or population inference is claimed. |
Official source: ACARA curriculum workbook and copyright terms, accessed 29 September 2026. The pinned plain-text import removes workbook formatting, not content-description wording. ACARA does not endorse SubjectNest.