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Edexcel International A Level Biology

Unit 3

Practical Skills in Biology I — experimental design, measurement, microscopy, data processing, graph analysis, evaluation and scientific problem solving.

WBI13 Unit Code
50 Marks
1h 20m Exam
5+ Maths Marks
01 — Unit Overview

What is Unit 3?

Unit 3 is the practical-skills examination for the Edexcel International AS Biology course. It assesses practical knowledge and experimental skills developed while studying Units 1 and 2.

Key idea: Unit 3 is not simply a memory test of practicals. You must be able to apply biological knowledge to unfamiliar experiments and evaluate experimental evidence.

What can the paper test?

Exam mindset: Always ask: What was changed? What was measured? What was controlled? How reliable are the results? What evidence supports the conclusion?
02 — Experimental Design

Planning an Investigation

A strong practical investigation begins with a clear question or hypothesis and a method designed to produce reliable evidence.

A good experimental plan should include

  1. Independent variable
  2. Dependent variable
  3. Controlled variables
  4. Suitable apparatus
  5. Measurement method
  6. Repeated measurements
  7. Safety precautions
  8. Data-processing method
  9. Method of reducing uncertainty
Planning framework

Hypothesis → Variables → Apparatus → Method → Repeats → Data → Graph → Analysis → Conclusion → Evaluation

Hypothesis

A hypothesis should predict a relationship between variables that can be tested experimentally.

Example

Investigate the effect of temperature on the rate of an enzyme-controlled reaction.

Hypothesis: Increasing temperature will increase reaction rate up to an optimum temperature, after which the rate will decrease because enzyme structure is disrupted.
03 — Variables

Independent, Dependent and Controlled Variables

Independent variable

The variable deliberately changed by the investigator.

Dependent variable

The variable measured in response to the independent variable.

Controlled variable

A factor kept constant so that it does not affect the dependent variable.

Confounding variable

An uncontrolled factor that could influence the result and weaken the conclusion.

Example: enzyme experiment

Variable Example
Independent Temperature
Dependent Initial reaction rate
Controlled pH, substrate concentration, enzyme concentration
Common mistake: Saying "keep everything else the same" is not enough. Name the important controlled variables explicitly.
04 — Measurement

Measurements, Accuracy and Reliability

Biological investigations involve measurement of quantities such as length, mass, volume, temperature, time, pH and biological counts.

Accuracy vs precision

Accuracy

How close a measurement is to the true value.

Precision

How closely repeated measurements agree with one another.

Repeat readings

Repeating measurements helps identify anomalous values and allows a mean to be calculated.

Mean =

sum of all measurements ÷ number of measurements

Significant figures

Results should normally be reported with an appropriate number of significant figures consistent with the precision of the measurements.

Avoid reporting an experimentally measured value with unrealistic precision.
05 — Microscopy

Microscopy and Biological Drawings

Microscopy is important throughout Biology Unit 3. You may need to interpret images, calculate magnification, identify structures and evaluate microscope techniques.

Magnification = image size ÷ actual size

Unit conversion

Worked example

An image of a cell is 30 mm long. Its actual length is 60 μm. Calculate the magnification.

Convert:
30 mm = 30,000 μm

Magnification = 30,000 ÷ 60

Magnification = ×500

Biological drawings

Resolution

Resolution is the ability to distinguish two objects that are close together as separate objects.

Higher resolution allows finer structural detail to be distinguished.
06 — Enzyme Practical

Investigating Enzyme Activity

Enzyme investigations can involve changing temperature, pH, enzyme concentration or substrate concentration and measuring the initial reaction rate.

Initial rate

Rate = change in measured quantity ÷ time

The initial rate is useful because substrate concentration and product concentration can change during an experiment.

Temperature

Increasing temperature generally increases reaction rate initially because molecules have greater kinetic energy and collide more frequently.

Above the optimum temperature, bonds maintaining the enzyme's three-dimensional structure can be disrupted, changing the active site.

pH

Each enzyme has a range of pH values in which it works effectively. Extreme pH can alter interactions within the enzyme and affect the active site.

Important controls

Why should an enzyme experiment use a water bath?
Show answer

A water bath helps maintain a stable and controlled temperature throughout the reaction.

07 — Osmosis Practical

Investigating Osmosis

Osmosis is the net movement of water molecules through a partially permeable membrane from a region of higher water potential to a region of lower water potential.

Typical investigation

Plant tissue such as potato cylinders can be placed in solutions of different concentrations.

Variables

Percentage change = [(final value − initial value) ÷ initial value] × 100
Worked example

A potato cylinder changes from 2.50 g to 2.75 g. Calculate the percentage change in mass.

Change = 2.75 − 2.50 = 0.25 g

Percentage change = (0.25 ÷ 2.50) × 100

= 10%

Interpreting a graph

The concentration at which percentage change in mass is approximately zero can be used to estimate the external solution concentration at which there is no net movement of water.

08 — Plant Investigations

Plant Practical Skills

Unit 3 can require practical application of plant biology from Unit 2.

Plant tissue microscopy

Plan diagrams

A plan diagram should show the overall arrangement of tissues rather than individual cells in unnecessary detail.

Tensile strength

Plant fibres can be investigated by measuring the force required to break a fibre or by examining how fibres behave as increasing loads are applied.

Fair test:

Fibre length, fibre type, fibre width and environmental conditions should be controlled when appropriate.

Plant mineral deficiencies

Plant growth can be investigated by growing plants in solutions lacking specific mineral ions and comparing their development with a control.

09 — Biological Molecule Tests

Food Tests

Food substance Test Positive result
Starch Iodine solution Blue-black
Reducing sugar Benedict's reagent + heating Green → yellow → orange → red precipitate
Protein Biuret test Lilac/purple
Lipid Ethanol emulsion test White/cloudy emulsion
Exam point: Always distinguish between the reagent, the procedure and the positive result.
10 — Microbiology

Microbial Investigations and Aseptic Technique

Practical investigations involving microorganisms require careful control of contamination and safe handling.

Aseptic technique

Aseptic technique: procedures used to reduce contamination of cultures and the surrounding environment.

Antimicrobial investigations

The effectiveness of an antimicrobial substance can be investigated by comparing zones of inhibition around treated discs.

Larger zone of inhibition ≠ automatically greater effectiveness in every context

Diffusion through the agar, concentration and other experimental factors can affect zone size.

11 — Data Processing

Processing Experimental Data

Mean

Mean = total of values ÷ number of values

Range

Range = highest value − lowest value

Percentage change

Percentage change = [(new − original) ÷ original] × 100

Ratio

Ratios can be simplified by dividing each quantity by the same factor.

Mitotic index

Mitotic index =

number of cells undergoing mitosis ÷ total number of cells
Example

24 cells in a root tip are undergoing mitosis out of 120 cells observed.

Mitotic index = 24 ÷ 120

= 0.20

As a percentage: 20%
12 — Graph Skills

Plotting and Interpreting Graphs

Choosing axes

The independent variable normally goes on the x-axis and the dependent variable goes on the y-axis.

Good graph practice

Gradient

Gradient =

change in y ÷ change in x

When determining a gradient from a graph, use a large triangle on the line of best fit rather than two points that are unnecessarily close together.

Correlation

A positive relationship means that the dependent variable generally increases as the independent variable increases.

A negative relationship means that the dependent variable generally decreases as the independent variable increases.

Correlation alone does not prove causation. Consider controlled variables and the experimental design.
13 — Uncertainty

Uncertainty and Error

Random error

Random errors cause measurements to vary unpredictably. Repeats and calculating a mean can reduce their effect.

Systematic error

A systematic error shifts measurements consistently in one direction and is not normally removed simply by taking more repeats.

Reducing uncertainty

Percentage uncertainty compares the uncertainty in a measurement with the measured value.
Percentage uncertainty =

(absolute uncertainty ÷ measured value) × 100
14 — Evaluation

Evaluating an Experiment

Evaluation questions are among the most important skills in Unit 3.

Ask five questions

  1. Was the method valid?
  2. Were the variables controlled?
  3. Were enough repeats taken?
  4. Were measurements precise enough?
  5. How could the experiment be improved?

Weak evaluation

"Repeat the experiment because it may be inaccurate."

Strong evaluation

"Repeat each concentration at least three times and calculate a mean to reduce the influence of random variation and identify anomalous results."

Improvement rule

Do not merely say "make it more accurate." State exactly what should be changed and explain why that change would improve the investigation.

15 — Practical Scenarios

Common Practical Contexts

Microscopy

Cell structure, magnification, scale, biological drawings.

Enzymes

Temperature, pH, substrate concentration, enzyme concentration and rate.

Osmosis

Plant tissue mass changes and solution concentration.

Cell division

Root tip squash, mitosis and mitotic index.

Plant fibres

Tensile strength and comparison of materials.

Antimicrobials

Aseptic technique and zones of inhibition.

16 — Exam Practice

Unit 3 Practice

1. A student investigates the effect of pH on enzyme activity. Identify the independent variable.
Show answer

The pH of the reaction mixture.

2. Why should the experiment be repeated?
Show answer

Repeats improve reliability, allow anomalous values to be identified and allow a mean to be calculated.

3. An image is 40 mm wide and the actual cell is 80 μm wide. Calculate magnification.
Show answer

40 mm = 40,000 μm.

Magnification = 40,000 ÷ 80

×500

4. Give two ways of reducing random error.
Show answer

Repeat measurements and calculate a mean. Increasing the number of readings can also improve reliability.

5. Why is the independent variable placed on the x-axis?
Show answer

The independent variable is the variable deliberately changed by the investigator. Conventionally it is plotted on the x-axis.

6. Give one difference between random and systematic error.
Show answer

Random errors cause unpredictable variation, whereas systematic errors cause a consistent shift in measurements.

7. A sample contains 15 heterozygous individuals out of 60 individuals. Calculate the heterozygosity index.
Show answer

Heterozygosity index = 15 ÷ 60

= 0.25

8. State two features of a good scientific graph.
Show answer

Correctly labelled axes with units and an appropriate scale. Points should also be plotted accurately.

17 — Exam Strategy

How to Approach a Unit 3 Question

Step 1 — Identify the experiment

Determine what biological process is being investigated.

Step 2 — Identify the variables

Find the independent, dependent and controlled variables.

Step 3 — Look at the measurements

Check units, significant figures, repeats and possible anomalies.

Step 4 — Process the data

Calculate means, percentages, rates, ratios or other required quantities.

Step 5 — Interpret

Describe the pattern and use biological knowledge to explain it.

Step 6 — Evaluate

Discuss reliability, validity, uncertainty, errors and realistic improvements.

Unit 3 — Quick Review

✓ Independent variable
✓ Dependent variable
✓ Controlled variables
✓ Repeat measurements
✓ Mean and percentage change
✓ Magnification
✓ Microscopy
✓ Enzyme investigations
✓ Osmosis
✓ Plant practicals
✓ Graphs and gradients
✓ Uncertainty
✓ Random and systematic error
✓ Experimental evaluation
✓ Safety and aseptic technique
✓ Practical problem solving