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6.1.3Inquiry Process

Controlling Variables in Biology — IB Biology SL Revision Notes & Topical Questions

5 min read 5 parts Lesson 5 of 10

📚 IB Biology SL Hub / Topical Revision
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Curriculum Equation Key قوانين الرقم الهيدروجيني والاتزان الأيوني - pH & Acid-Base Equilibrium FormulasFast Exam Solution
pH = -log[H⁺] | pOH = -log[OH⁻] | pH + pOH = 14 | [H⁺][OH⁻] = 10⁻¹⁴
Word Equation & Conditions: الرقم الهيدروجيني = -لوغاريتم تركيز أيون الهيدروجين | pH + pOH = 14
Location & Specifications: الاتزان الأيوني، كيمياء 3 ثانوي، التحصيلي، و AP Chemistry.
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Section 1 of 5Calibrating Apparatus

Calibration checks an instrument against a known standard so that systematic error is reduced.

pH meter
  • pH meter Calibrate with at least two standard buffer solutions that bracket the pH values you plan to measure.
Balance
  • Balance Zero or tare it before each use so that only the mass of the sample is displayed.
Thermometer or probe
  • Thermometer or probe Check readings in melting ice at 0 °C and in boiling water near 100 °C, allowing for atmospheric pressure.
Eyepiece graticule
  • Eyepiece graticule Calibrate it against a stage micrometer at each magnification, because the size of one unit changes with the lens.
Gas sensors
  • Gas sensors Calibrate against the known composition of air before using them to follow respiration or photosynthesis.

Section 2 of 5Constant Environmental Conditions

Constant Environmental Conditions
Temperature
  • Temperature Use a thermostatically controlled water bath or incubator and let all samples reach that temperature before they are mixed.
Light and humidity
  • Light and humidity Use a lamp at a fixed distance for light, and keep samples away from windows, draughts and heat sources.
Uncontrollable factors
  • Uncontrollable factors If a factor cannot be held constant, such as room temperature, monitor and record it and discuss its effect in the evaluation.
Timing
  • Timing Keep exposure times identical, because the effect of many treatments depends on how long the tissue is left in them.

Section 3 of 5Samples and Controls

Living material varies, so sampling and controls are needed to show that the independent variable caused the effect.

1
Select samples that are as alike as possible, such as cylinders from one potato or leaves of the same age.
2
Use random sampling, for example random quadrat positions, so that the sample represents the whole area and avoids bias.
3
Use many replicates so that one unusual individual has little influence on the mean.
4
Set up a control that is treated in the same way but without the independent variable applied.
5
A negative control, such as boiled enzyme or water in place of enzyme, shows the effect is not due to something else.

Section 4 of 5Worked Example

Question

  • A graticule has 40 units that line up exactly with 25 divisions on a stage micrometer.
  • Each stage division is 0.01 mm.
  • Find the length of one graticule unit, then the real length of a cell that spans 8 units.

  1. Length covered by 25 stage divisions = 25 × 0.01 mm = 0.25 mm.
  2. This equals 40 graticule units, so one unit = 0.25 mm ÷ 40 = 0.00625 mm.
  3. Convert0.00625 mm × 1000 = 6.25 µm per unit.
  4. Cell length = 8 × 6.25 µm = 50 µm.

Answer One graticule unit is 6.25 µm and the cell is 50 µm long.

Section 5 of 5Exam Checklist & Tips

6.1.3 – Key Points for the Exam

  • Calibration Checking and adjusting an instrument against a known standard.
  • Systematic error An error that shifts all readings in the same direction.
  • Negative control A set-up without the independent variable, showing what happens when the factor is absent.
  • Random sampling Choosing samples by chance so they represent the whole population and are not biased.
  • Stage micrometer A slide with a precise scale used to calibrate the eyepiece graticule.

Common Mistakes

  • Stating that temperature will be controlled without naming a water bath or incubator and a set value.
  • Calibrating the graticule once and then using it at a different magnification.
  • Choosing samples by hand because they look good, which introduces bias.
  • Forgetting a control run, so there is no proof that the independent variable caused the change.

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