AQA Biology practical skills

Practical and investigative skills used across AQA A-level Biology. Free MCQs include clues and explanations.

Specification route
PS
Question bank
12 questions
Course stage
AS / Year 12

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12 standard questions. No sign-in required.

Practise Biology maths and data skills

Sessions use up to the requested number of available questions. Standard practice uses levels 1–5.

Sample questions

QUESTION 1 · PS 2.3 · LEVEL 2

What is the difference between 'accuracy' and 'precision' in experimental measurements?

  • Accuracy is how close a measurement is to the true value, whereas precision is how close repeated measurements are to each other.
  • Accuracy is how close repeated measurements are to each other, whereas precision is how close a measurement is to the true value.
  • Accuracy refers to the resolution of the equipment, whereas precision refers to the absence of anomalies.
  • They mean exactly the same thing in the context of biological data processing.
Show clue

You can reliably hit the exact same wrong spot on a dartboard. That is precise, but not accurate.

Show answer and explanation

Answer: Accuracy is how close a measurement is to the true value, whereas precision is how close repeated measurements are to each other.

Practical Skills (PS 3.3). Accuracy is proximity to the true value. Precision relates to the spread of repeated measurements; tight clustering means high precision, even if they are all inaccurate due to a systematic error.

QUESTION 2 · PS 2.4 · LEVEL 1

In an experiment measuring the effect of temperature on the rate of an enzyme-controlled reaction, the student uses a buffer solution. What type of variable is the pH in this experiment?

  • A control variable
  • The independent variable
  • The dependent variable
  • A confounding variable
Show clue

The student is actively keeping it constant so it doesn't affect the results.

Show answer and explanation

Answer: A control variable

PS 2.4. A control variable is one that is kept constant to ensure a valid test. Since temperature is the independent variable, pH must be controlled (using a buffer) so it does not affect the dependent variable (reaction rate).

QUESTION 3 · PS 3.1 · LEVEL 2

A student is plotting the results of an experiment investigating the effect of varying light intensity (lux) on the rate of photosynthesis (bubbles/min). Which type of graph is most appropriate?

  • A scatter graph with a line or curve of best fit, because both variables are continuous.
  • A bar chart, because light intensity is a categorical variable.
  • A pie chart, to show the proportion of bubbles produced at each light intensity.
  • A histogram, because the rate of photosynthesis is a continuous frequency distribution.
Show clue

Lux can be any numerical value, and the rate can be any numerical value.

Show answer and explanation

Answer: A scatter graph with a line or curve of best fit, because both variables are continuous.

PS 3.1. When both the independent variable (light intensity) and dependent variable (rate) are continuous, a scatter graph (often with a line of best fit) is the correct way to display the relationship.

QUESTION 4 · PS 2.1 · LEVEL 2

In an experiment testing the effect of an antimicrobial substance, a paper disc soaked *only* in sterile water is placed on the agar plate. What is the purpose of this?

  • It acts as a negative control, showing whether the paper disc or sterile water causes any inhibition in the absence of the antimicrobial substance.
  • It acts as a positive control to show maximum bacterial growth.
  • It provides the bacteria with essential hydration to encourage rapid mitosis.
  • It absorbs excess toxic waste produced by the respiring bacteria.
Show clue

The control shows what happens when the disc and solvent are present but the antimicrobial substance is absent.

Show answer and explanation

Answer: It acts as a negative control, showing whether the paper disc or sterile water causes any inhibition in the absence of the antimicrobial substance.

A water-soaked disc controls for effects of the disc and solvent. If it produces no inhibition zone under the same conditions, that supports attributing additional inhibition around the antimicrobial disc to the antimicrobial treatment.

QUESTION 5 · PS 3.2 · LEVEL 1

When looking at a data table, how would a student identify an 'anomalous' result?

  • It is a measurement that deviates significantly from the general trend of the data or is vastly different from the other repeats at that specific independent variable value.
  • It is the result that perfectly matches the mean average of all the repeats.
  • It is the reading taken at the very end of the experiment, where fatigue may have influenced the data.
  • It is the measurement with the highest absolute numerical value in the entire table.
Show clue

An anomaly is an outlier; the 'odd one out'.

Show answer and explanation

Answer: It is a measurement that deviates significantly from the general trend of the data or is vastly different from the other repeats at that specific independent variable value.

PS 3.2. Anomalous results are data points that do not fit the overall pattern or vary significantly from repeats. They should ideally be investigated or omitted from mean calculations.

QUESTION 6 · PS 3.3 · LEVEL 4

A student plots a bar chart showing the mean resting heart rate of different mammal species. They add error bars to show $\pm 1$ standard deviation. If the error bars for humans and chimpanzees overlap significantly, what can be concluded?

  • The error bars show overlapping spread, but an appropriate statistical test is needed before deciding whether the mean resting heart rates differ significantly.
  • The data collected for both species was highly inaccurate and must be discarded.
  • Humans and chimpanzees must share a recent common ancestor within the same genus.
  • There is a highly significant difference, confirming the two species have distinct metabolic rates.
Show clue

Error bars describe variability; they are not a substitute for a significance test.

Show answer and explanation

Answer: The error bars show overlapping spread, but an appropriate statistical test is needed before deciding whether the mean resting heart rates differ significantly.

Standard-deviation bars summarise spread around each sample mean. Overlap can help you judge the data visually, but it does not by itself establish statistical significance. A suitable statistical test is needed for that conclusion.

QUESTION 7 · PS 1.1 · LEVEL 1

In an experiment, what defines the 'dependent variable'?

  • It is the variable that is measured or observed by the researcher to see how it responds to changes in the independent variable.
  • It is the variable that is deliberately manipulated or changed by the researcher.
  • It is a variable that is kept strictly constant throughout the experiment to ensure a fair test.
  • It is a variable that cannot be controlled and randomly affects the outcome.
Show clue

Its value 'depends' on what you do to the experiment.

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Answer: It is the variable that is measured or observed by the researcher to see how it responds to changes in the independent variable.

PS 1.1. The dependent variable is the outcome being measured (e.g., volume of oxygen produced). The independent variable is what you change (e.g., temperature). Control variables are kept constant.

QUESTION 8 · PS 2.4 · LEVEL 2

What makes an experimental investigation 'valid'?

  • The experiment truly tests what it sets out to test, ensuring that all control variables are kept constant so only the independent variable affects the dependent variable.
  • The experiment is repeated multiple times to identify and remove any anomalous results.
  • The experiment uses highly precise digital equipment to gather data with a high resolution.
  • The results of the experiment match the student's original hypothesis perfectly.
Show clue

If you are testing how temperature affects plant growth, but you also change the light levels, your test is completely broken.

Show answer and explanation

Answer: The experiment truly tests what it sets out to test, ensuring that all control variables are kept constant so only the independent variable affects the dependent variable.

PS 2.4. Validity refers to whether the experiment actually measures what it intends to. This requires strict control of confounding variables so that any change in the dependent variable is solely due to the independent variable.

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