2.4.2Unit 2 — Multicellular Organisms
Practical: Variation in Organisms
5 min read 6 parts Lesson 16 of 39
Part 1 of 6Variation Being Investigated

This suggested practical uses snails, which have a small number of easily recognised shell types.
Variation Being Investigated
Discrete variation
- Individuals fall into clear separate categories with no in-between forms, such as the shell patterns of snails of one genus.
Continuous variation
- Individuals show a smooth range of values, such as height, so the data are measured rather than sorted into categories.
Habitat link
- Different habitats may favour different forms, so the frequency of each variant can differ between woodland and grassland.
Aim
- Compare the frequency of each snail shell variant in two habitats and describe any differences that the data show.
Part 2 of 6Method
1
Choose two contrasting habitats, for example woodland and open grassland, where the same snail species can be found in reasonable numbers.
2
Place a quadrat at random positions in the first habitat, using random coordinates so that the sampler cannot pick convenient or easy spots.
3
Photograph or record each snail seen in the quadrat without moving it, repeating at new random positions until 50 snails have been recorded.
4
Sort each snail into one of four variants: pink or brown plain, yellow plain, pink or brown striped, and yellow striped.
5
Repeat the whole procedure in the second habitat, keeping quadrat size, sampling method and time of day the same to make it a fair test.
Part 3 of 6Recording and Presenting Results
Tally chart
- Mark each snail as it is classified, then total the tallies to give the number of each variant in each habitat.
Percentage
- Divide the number of one variant by the total sample and multiply by 100, so that the two habitats can be compared directly.
Bar chart
- Use bars for categories with gaps between them, because discrete data have no in-between values to join.
Sample size
- Using the same total of 50 snails in each habitat means that the counts are directly comparable.
| Variant | Habitat A (number) | Habitat B (number) |
|---|---|---|
| Pink or brown plain | 20 | 10 |
| Yellow plain | 5 | 18 |
| Pink or brown striped | 17 | 6 |
| Yellow striped | 8 | 16 |
| Total | 50 | 50 |
Part 4 of 6Drawing Conclusions
Drawing Conclusions
Describe trends
- State which variants are commoner in each habitat and use figures from the table to support every comparison you make.
Fair test
- Same quadrat size, sampling method and sample size are kept constant so only the habitat is different between the two samples.
Reliability
- A larger sample, or repeating the survey on different days, would make the percentages more reliable.
Ethics
- Snails are left in their natural environment and are not handled, so that wildlife is disturbed as little as possible.
Part 5 of 6Worked Example
Question
- In habitat B, 16 of the 50 snails recorded were yellow striped.
- Calculate the percentage that were yellow striped.
- Write the fraction of the sample16 out of 50.
- Divide 16 by 50 to give 0.32.
- Multiply by 100 to convert to a percentage.
Answer 32% of the snails in habitat B were yellow striped.
Part 6 of 6Exam Checklist & Tips
2.4.2 – Key Points for the Exam
- Discrete variation A characteristic with distinct categories and no intermediate forms, usually controlled by a single gene.
- Random sample A sample taken at positions chosen by chance so that selection is not biased by the investigator.
- Quadrat A square frame placed on the ground to mark out a sample area of fixed size.
- Frequency The number of individuals of a particular type found in a sample.
- Fair test An investigation in which only one variable is changed and all other variables are kept the same.
Common Mistakes
- Choosing easy-to-see snails instead of using random quadrat positions, which makes the sample biased.
- Drawing a line graph for discrete data;
- separate bars are needed because there are no values between categories.
- Comparing raw counts from samples of different sizes instead of converting to percentages.
- Describing a trend without quoting figures from the results to support it.