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Quarter Page

Quarter 2 — Track Yourself

Oct 19 to Dec 17, 2026

Main focus

Self-tracking, time use, survey/data analysis, and pattern finding

Quarter 2 begins with a simple question about where time goes: students compare their estimates with what they can reconstruct. They then collect, organize, display, and interpret real data about a manageable question.

The goal is one honest data story: a clear question, real data, a useful display, a supported claim, a limitation, and a practical decision or next step.

What students do

The quarter stays practical and artifact-based.

By the end of Q2, students should be able to make a supported claim from real data, explain its limitations, and use it to defend a reasonable next step.

Students build

  • a simple tracking method and, where useful, a short comparison or survey
  • a cleaned dataset in a manageable format
  • a chart, table, or summary that reveals a pattern
  • a short data story with a supported claim, a limitation, and a practical decision

Math / QR lift

  • collecting and organizing real data
  • choosing displays that match the data
  • summarizing patterns without overstating them
  • identifying sample, bias, and measurement problems
  • separating association from proof of cause

Sequential QR focus windows

Two short-focus themes support the main project.

These are not separate full units or two hidden courses running at once. One focus window usually carries the first half of the quarter and the second carries the next half, with short callbacks later.

Focus window

Sampling, bias, and bad survey questions

Who is included, who is missing, and why does that matter?

Students examine survey design, biased questions, response bias, and the limits of data collected from a small or uneven group before they make claims.

Focus window

Correlation vs causation

What is actually proven here?

Students look at patterns in student data, surveys, and media claims and practice saying what the evidence can and cannot prove.