KHAEMENES ACADEMY · CHEMISTRY 11 · WEEK 34 · DAY 02

Half-Life & Exponential Decay

Model radioactive decay statistically with half-life.

Safety boundary

Use coin/dice half-life models, simulations, and trusted lifecycle datasets only. Do not use radioactive sources or hazardous materials.

Explicit chemistry instruction

Half-life is the time for the expected number of undecayed nuclei in a large sample to decrease by half.

Individual nuclei decay unpredictably, but large populations show stable statistical patterns.

After n half-lives, the expected remaining fraction is (1/2)^n.

Vocabulary: half-life; radioactive decay; exponential; probability; population.

Worked example

After three half-lives, expected remaining fraction is 1/8=12.5%.

Guided question

What fraction remains after five half-lives?

Independent work

  1. Solve four half-life fraction problems.
  2. Graph remaining fraction versus half-lives.
  3. Explain why individual decay time is unpredictable.

Instructional depth extension · half-life as exponential change

Radioactive decay is stochastic for individual nuclei but predictable statistically for large populations. After each half-life, the expected undecayed amount is multiplied by one-half; equal time intervals therefore produce equal fractional change, not equal absolute change.

Worked example: a 160 mg sample with a 3-day half-life is expected to have 80 mg after 3 days, 40 mg after 6 days, and 20 mg after 9 days. The amount lost each interval changes, but the fraction remaining is consistent.

Use N=N₀(1/2)t/t½ when the elapsed time is not an exact whole number of half-lives. Measurement uncertainty and background counts should remain visible when interpreting real decay data.

Misconception check

Half-life does not mean every nucleus survives exactly half the stated time.

Formative check

What fraction remains after one half-life?

Reveal response

One-half of the original population, on average.

Mentor evidence conference

Ask Archaemenes to audit mechanism, quantitative evidence, tradeoffs, and uncertainty.

Teacher guidance

Foundation: Use halving tables.

Core: Solve half-life models.

Extended: Fit/interpret exponential-decay data.