KHAEMENES ACADEMY · BIOLOGY 10 · WEEK 20 · DAY 03

Expected vs Observed Ratios

Explain why random sampling makes real offspring counts fluctuate around model expectations.

Safety, privacy and evidence boundary

Use fictional organisms, coins/cards, and published-style datasets. Do not require personal family histories, ancestry testing, fertility information, medical pedigrees, or personal genetic data. Trait inheritance never ranks human worth.

Explicit science instruction

Expected ratios are long-run model predictions. Observed counts are finite samples. Random sampling produces variation, especially in small samples, so a 3:1 expectation does not require every group of four offspring to contain exactly three of one phenotype.

Proportions become more stable with larger samples, but systematic departures may also reflect linkage, selection, classification error, incomplete dominance, nonrandom survival, or an incorrect model.

Vocabulary: expected; observed; sampling variation; proportion; sample size; deviation; model fit.

Worked example with reasoning

A simple cross predicts 75% dominant phenotype. In 20 offspring, 13 show it: 65%. The deviation is 10 percentage points. That difference alone is not enough to reject the model; interpretation depends on sample size and how unlikely the result is under the model.

Guided question

Why does a larger sample usually provide a stronger test of an expected ratio than a very small one?

Independent work

  1. Convert 3:1 to probabilities.
  2. Predict counts for n=40 and n=400.
  3. Compare an observed 28:12 sample with expectation.
  4. List two biological and two measurement reasons for deviation.

Misconception check

Deviation from an expected ratio is not automatically evidence that Mendel's laws are false; all models are tested against sampling and design uncertainty.

Formative understanding check

A 3:1 model predicts how many of 200 offspring in the dominant category?

Worked response

150 as an expectation, not a guarantee.

Open-book formative practice only; not an official mastery attempt or grade.

Mentor evidence conference

Ask Archaemenes to challenge your probability, evidence classification, model assumptions, and limitations. The mentor does not infer personal genetics or provide protected assessment answers.

Open Archaemenes

Teacher guidance

Foundation: use expected-count tables. Core: calculate proportions and discuss sampling variation. Extended: simulate many small samples and compare their distribution with one large sample.

Preserve learning evidence

Keep models, calculations, corrections, and limitations in the matching Week 20 evidence field.

Return to evidence workspace