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Teaching Statistics A — Delivery Guide & Professional Development

Curriculum

  • 5 Sections
  • 16 Lessons
  • Lifetime
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  • Module 1: Teaching Statistics A
    4
    • 1.1
      The Standards and the Area C Case
      25 mins
    • 1.2
      Teaching With Real Federal Data
      30 mins
    • 1.3
      Simulation-First Inference and Statistical Discourse
      30 mins
    • 1.4
      Pacing, Tools, Access and Certification Links
      30 mins
  • Module 2: Unit 1 — Exploring One-Variable Data
    3
    • 2.1
      Unit 1 Briefing — Distributions, Summaries and What Students Get Wrong
      25 mins
    • 2.2
      Facilitating the Five-Station Discourse Lab and the Reporting Workshop
      30 mins
    • 2.3
      Scoring the Climate Station Profile, With Exemplars
      35 mins
  • Module 3: Unit 2 — Two-Variable Data and Regression
    3
    • 3.1
      Unit 2 Briefing — Correlation, Regression and Causation
      25 mins
    • 3.2
      Facilitating the Residuals-and-Causation Lab and the Exponential Workshop
      30 mins
    • 3.3
      Scoring the Bivariate Investigation Report, With Exemplars
      35 mins
  • Module 4: Unit 3 — Designing Studies: Samples and Experiments
    3
    • 4.1
      Unit 3 Briefing — How Data Are Produced
      25 mins
    • 4.2
      Facilitating the Experiments Lab and the Randomization Workshop
      30 mins
    • 4.3
      Scoring the Study Report, With Exemplars
      35 mins
  • Module 5: Unit 4 — Probability, Random Variables and the Binomial Model
    3
    • 5.1
      Unit 4 Briefing — Probability From Real Events
      25 mins
    • 5.2
      Facilitating the Random-Variables Lab and the Binomial Workshop
      30 mins
    • 5.3
      Scoring the Expected-Value Decision Analysis, With Exemplars
      35 mins

The Standards and the Area C Case

Module 1  ·  Teaching Statistics A  ·  1 of 16

The Standards and the Area C Case

STATSA-CA-PDTeacher guide
By the end of this module you will be able to…

explain how Statistics A and B together cover every required standard, and make the case that the course meets UC A-G area C rather than only area G.

Statistics A and B form one full-year course. Between them they cite every standard in two files: the California CCSS Statistics and Probability category (S-ID, S-IC, S-CP and S-MD, including all the (+) standards) and California’s retained Probability and Statistics standards, PS.1-PS.19. The builder will not publish either semester unless every one of those codes is cited somewhere across the two. Semester A carries descriptive statistics, regression, study design, probability and the discrete random-variable standards (S-CP.1-9, S-MD.1-7, PS.1-3, PS.5-7, PS.10-14). Semester B carries the normal model, sampling distributions and formal inference (S-ID.4, PS.4, PS.8, PS.9, PS.15-19).

Why area C, not only area G. UC’s area C (mathematics) requires courses beyond Algebra 2 to build on it with genuine mathematical depth. The case this course makes, and that reviewers will look for in the lessons, is concrete:

  • Algebra 2 is a real prerequisite, not a formality. Students linearise exponential growth with logarithms (A 2.4), work with the binomial formula and combinations (A 4.2, 4.4), and in B handle density curves, the exponential distribution and standard errors derived from variance rules.
  • Students compute from definitions before they use technology: standard deviation from deviations with the n − 1 divisor (A 1.2), the least-squares slope from b = r·sy/sx (A 2.2), exact permutation P-values (A 3.4), and expected value and variance of discrete distributions (A 4.3).
  • The course goes well beyond the statistics in Algebra 1 and 2: formal inference with z, t and chi-square procedures, power, and regression inference.

The fallback. The course is registered as area C. If UC declines area C, the same course can be resubmitted as an area G college-preparatory elective without content changes. Keep your evidence file (the alignment matrix the builder produces and a sample of scored investigations) ready either way.

What reviewers read. They read the UCOP syllabus the builder generates: unit summaries, key assignments and the assessment matrix. The key assignments are statistical investigations with a planning stage, a peer-reviewed draft, a revised final and an oral defense. Protect that structure when you teach. A report written in one sitting is not the course that was approved.

Where the standards land in Statistics A

UnitMain standardsCulminating investigation
1 Exploring One-Variable DataS-ID.1-3, PS.10, PS.11, PS.14Climate Station Profile (1.5)
2 Two-Variable Data and RegressionS-ID.6 (a-c), S-ID.7-9, PS.12, PS.13Bivariate Investigation Report (2.5)
3 Designing StudiesS-IC.1-6Design, Run and Report a Study (3.5)
4 Probability, Random Variables and the BinomialS-CP.1-9, S-ID.5, S-MD.1-7, PS.1-3, PS.5-7Expected-Value Decision Analysis (4.5)

Keep the A and B semesters together

Coverage is checked across both semesters. Statistics A alone does not cover S-ID.4, PS.4, PS.8, PS.9 or PS.15-PS.19. A student who takes only Statistics A has not completed the approved course.

Myth or Fact?

Statistics A on its own covers every standard in the course’s standards files.

Coverage is split across A and B; the normal model, sampling distributions and formal inference standards are in B.
Quick self-check

How confident are you that you can explain to a reviewer why this course meets area C, and what the fallback is?

Not yetVery confident

Standards this module helps you deliver: S-ID.1, S-IC.1, S-CP.4, S-MD.1, PS.7

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