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🧬 Pure Biology 6093 🔬 Paper 2 Essential Skills

Biology Practical Skills

Practical questions appear throughout O-Level Biology Paper 2. This page covers every skill type: experimental planning, identifying variables, designing results tables, drawing graphs, evaluating experiments, and interpreting biological techniques. Each section has worked examples and practice questions with full mark schemes.

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Skill 1 — Planning an Investigation
Hypothesis, variables, method, fair test, risk assessment

The three types of variable

Every biology experiment involves three types of variable. You must identify and control them clearly:

Independent variable (IV)

The variable you deliberately change. There should only be one. Example: temperature of water bath (10°C, 20°C, 37°C, 45°C, 60°C).

Dependent variable (DV)

The variable you measure or observe as a result of changing the IV. Example: time for starch to be fully digested (iodine stays orange).

Control variables (CV)

All other variables that must be kept constant to make it a fair test. Example: pH, concentration of enzyme, concentration of starch, volume of each solution.

✅ Writing a hypothesis

State the expected relationship between IV and DV with a reason. Example: "As temperature increases from 10°C to 37°C, amylase will digest starch faster because enzyme and substrate molecules collide more frequently. Above 37°C, activity will decrease as the enzyme becomes denatured."

⚠ Common trap

Students often say "keep all variables the same" — but the IV must change. Only control variables are kept constant. Be specific: name the control variables, don't just say "keep everything the same."

Writing a method — the 5 essentials

  • 1
    Set up the apparatus: state the volumes, concentrations, and equipment you will use. Be specific — "5 cm³ of 1% starch solution" not just "starch."
  • 2
    State how you vary the IV: list the exact values and how you will control the independent variable (e.g. using a water bath at specific temperatures).
  • 3
    State how you measure the DV: describe precisely how you will record results (e.g. "test a drop with iodine solution on a spotting tile every 30 seconds until the colour no longer turns blue-black").
  • 4
    List control variables: name each one and state how it will be kept constant (e.g. "pH kept at 7 using a phosphate buffer solution").
  • 5
    Repeats: state that you will repeat each temperature at least three times and take a mean to improve reliability.
Q1
A student wants to investigate how light intensity affects the rate of photosynthesis in pondweed. State the independent variable, dependent variable, and three control variables. [5]
▶ Show mark scheme
Mark scheme [5]
  • IV: distance of lamp from pondweed (or light intensity in lux) [1]
  • DV: rate of photosynthesis — measured by counting oxygen bubbles produced per minute, or volume of O₂ collected in a set time [1]
  • Control variable 1: temperature (keep constant using a water bath / large water volume to act as heat buffer) [1]
  • Control variable 2: CO₂ concentration (add a fixed amount of sodium hydrogen carbonate to water) [1]
  • Control variable 3: type/size/health of pondweed used; colour/wavelength of light source [1]
Q2
Describe a method to investigate whether catalase (enzyme in potato) breaks down hydrogen peroxide faster at 37°C than at 20°C. Include how you would make it a fair test. [5]
▶ Show mark scheme
Mark scheme [5]
  • Cut equal-sized pieces of potato (same surface area/mass) for each temperature — same amount of catalase [1]
  • Set up two water baths: one at 20°C and one at 37°C; place equal volumes of the same concentration H₂O₂ in each [1]
  • Add potato pieces; collect oxygen gas produced in an inverted measuring cylinder over water (or count bubbles per minute) [1]
  • Measure volume of O₂ produced in a set time (e.g. 3 minutes) for each temperature [1]
  • Control variables: same concentration of H₂O₂, same volume of H₂O₂, same size/mass of potato, same pH [1]
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Skill 2 — Results Tables & Graphs
Designing tables, plotting graphs, calculating means, drawing best-fit lines

Designing a results table

  • 1
    Column headings: IV in the first column, DV (and repeats) in subsequent columns. Final column = mean. Always include units in the heading (e.g. "Temperature / °C").
  • 2
    Repeats: at least 3 repeats per condition for reliability. Calculate the mean. Exclude anomalous results from the mean — identify and circle them.
  • 3
    Decimal places: be consistent. If measuring to 0.1 cm³, all values should be recorded to 1 d.p.
✅ Graph rules

Plot IV on x-axis, DV on y-axis. Use a sharp pencil, mark points with a small × or ●. Draw a line of best fit (smooth curve or straight line as appropriate — do not join dot to dot). Label both axes with quantity and units. Give the graph a title. Use most of the available grid space (choose a scale carefully).

⚠ Common traps

1. Forgetting units on axes. 2. Drawing a dot-to-dot (jagged) line instead of a smooth best-fit curve. 3. Plotting IV on the y-axis. 4. Choosing a scale that leaves most of the grid empty.

Q3
The table below shows the rate of transpiration at different wind speeds. Identify the anomalous result, calculate the corrected mean for 15 km/h wind, and describe the trend.
Wind speed / km h⁻¹Trial 1 / mm h⁻¹Trial 2 / mm h⁻¹Trial 3 / mm h⁻¹
02.12.32.2
53.83.93.7
105.65.45.5
157.23.17.4
208.88.98.7
[4]
▶ Show mark scheme
Mark scheme [4]
  • Anomalous result: 3.1 mm/h at 15 km/h wind speed (far below the other two trials of 7.2 and 7.4) [1]
  • Corrected mean (excluding anomaly): (7.2 + 7.4) ÷ 2 = 7.3 mm/h [1]
  • Trend: as wind speed increases, the rate of transpiration increases [1]
  • The relationship is approximately linear / directly proportional (the rate roughly doubles as wind speed doubles from 5 to 20 km/h) [1]
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Skill 3 — Evaluating Experiments
Reliability, validity, sources of error, improvements

Key evaluation vocabulary

Reliability

The experiment gives consistent results when repeated. Improved by: more repeats, larger sample size, using precise instruments.

Validity

The experiment actually measures what it claims to measure. Ensured by: controlling all variables, using appropriate method, testing only one variable at a time.

Accuracy

How close results are to the true value. Improved by: using calibrated instruments, reducing systematic error, using a more precise measuring technique.

Anomalous result

A result that doesn't fit the pattern. Should be identified, circled/excluded from the mean, and the cause investigated before repeating that measurement.

Q4
A student measured the rate of photosynthesis in pondweed by counting bubbles per minute. Suggest two limitations of this method and state how each could be improved. [4]
▶ Show mark scheme
Mark scheme — 2 limitations × [limitation + improvement]
  • Limitation 1: Bubbles vary in size so counting bubbles does not accurately measure volume of O₂ produced [1] → Improvement: collect gas in an inverted measuring cylinder and measure volume of gas over a fixed time [1]
  • Limitation 2: Counting is subjective and difficult at high rates; observer error (miscounting) is likely [1] → Improvement: use a data logger with an oxygen electrode to measure O₂ concentration automatically [1]
  • Limitation 3 (also acceptable): Temperature of water may fluctuate with changing lamp distance → use a heat filter between lamp and tank, or monitor temperature continuously [1+1]
Q5
A student investigated the effect of sugar concentration on the rate of osmosis using potato cylinders. She measured the initial and final lengths and calculated the percentage change in length. Suggest one reason why percentage change is better than actual change in length. [2]
▶ Show mark scheme
Mark scheme [2]
  • Percentage change accounts for/corrects for differences in the initial length of potato cylinders [1]
  • This makes valid comparison possible between cylinders that may not have been cut to exactly the same starting length; it standardises the data [1]
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Skill 4 — Biological Techniques & Food Tests
Food tests, microscopy, aseptic technique, osmosis experiments

Food tests — full summary

Substance tested Reagent / test Positive result Negative result
StarchIodine solutionBlue-blackOrange-brown (unchanged)
Reducing sugars (glucose, maltose)Benedict's solution + heat (80°C water bath)Brick-red / orange precipitateStays blue
ProteinBiuret reagent (NaOH + dilute CuSO₄)Purple / violetStays blue
Lipid (fat/oil)Ethanol emulsion test: dissolve in ethanol, pour into waterMilky white emulsionStays clear
⚠ Common food test traps

1. Benedict's test requires heating — cold Benedict's won't change colour even with glucose present. 2. Sucrose (non-reducing sugar) does NOT give a positive Benedict's test directly — it must be hydrolysed with HCl first. 3. Biuret reagent is added to the FOOD SAMPLE, not heated. 4. Iodine is orange-brown in the negative (no starch) — not colourless.

Q6
A food sample gives a positive iodine test and a positive Biuret test, but a negative Benedict's test and a negative ethanol emulsion test. State which food substances are present and which are absent. [4]
▶ Show mark scheme
Mark scheme [4]
  • Present: starch (positive iodine test → blue-black) [1]
  • Present: protein (positive Biuret test → purple) [1]
  • Absent: reducing sugars such as glucose (negative Benedict's test → no colour change) [1]
  • Absent: lipid/fat (negative ethanol emulsion test → no white emulsion) [1]
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Skill 5 — The Osmosis Experiment
Potato cylinders, percentage change, estimating water potential

Standard osmosis investigation with potato

  • 1
    Cut potato cylinders of equal length (e.g. 5 cm) and equal diameter using a cork borer. Blot dry and record initial mass/length.
  • 2
    Place cylinders in solutions of different sucrose concentration (e.g. 0, 0.2, 0.4, 0.6, 0.8, 1.0 mol/dm³) for 30 minutes.
  • 3
    Remove, blot dry, record final mass/length. Calculate percentage change: % change = (final − initial) / initial × 100.
  • 4
    Plot % change in mass (y-axis) against sucrose concentration (x-axis). The x-intercept (where the line crosses zero) = the sucrose concentration equal to the water potential of the potato cells.
✅ Interpreting results

Positive % change = mass increased = water entered by osmosis = external solution had higher water potential (hypotonic to potato). Negative % change = mass decreased = water left by osmosis = external solution had lower water potential (hypertonic to potato). At the x-intercept: no net water movement = solution is isotonic to potato.

Q7
A potato cylinder had an initial mass of 4.0 g. After 30 minutes in a 0.4 mol/dm³ sucrose solution, its mass was 3.6 g. Calculate the percentage change in mass and state whether water entered or left the potato. [3]
▶ Show mark scheme
Mark scheme [3]
  • % change = (3.6 − 4.0) / 4.0 × 100 = −0.4 / 4.0 × 100 [1]
  • = −10% [1]
  • The negative value indicates the potato lost mass; water LEFT the potato by osmosis (the sucrose solution had a lower water potential than the potato cells) [1]