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Inquiry Process

6. Inquiry Process — IB Biology SL Revision Notes & Topical Questions

10 min read 13 parts Lesson 1 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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Lesson summary

6. Inquiry Process — IB BIOLOGY SL notes: Plan a biology investigation by writing a focused research question and hypothesis, identifying variables, justifying a method and controlling the experiment.Exploring = the creative start of an investigation, using curiosity and existing…

  • One relationship
  • Background research
  • Starting points
  • Feasibility
  • The because clause
  • Prediction against hypothesis

Part 1 of 11Exploring: the research question

Exploring
Exploring the creative start of an investigation, using curiosity and existing knowledge to make a focused research question and testable hypothesis
  • It shows independent thinking, initiative and insight.
Insight
  • Insight a standard experiment can be framed as a comparison
  • An example isto what extent does the source of amylase (fungal or bacterial) affect its optimum temperature?
One relationship
  • One relationship investigate one independent variable and one dependent variable in depth
  • How do light intensity and CO2 concentration affect photosynthesis? has too many variables.
Research question
  • Research question it must be focused, specific and state the link between the independent and dependent variables
  • How do abiotic factors affect plants? is too general.
  • A focused version iswhat is the effect of soil pH (5.0 to 8.0) on the rate of germination of garden cress seeds?
Background research
  • Background research use a textbook, the IB data booklet and reliable databases such as PubMed for papers and GenBank for sequences
  • It helps to understand the theory, find established values and choose a method.
Starting points
  • Starting points a surprising class result, a different enzyme or organism in a standard practical, or a real-world problem
Feasibility
  • Feasibility check the equipment, organisms and time, since plant experiments can take days or weeks
  • Be ready to refine the question after the research.

Part 2 of 11Hypothesis

1Hypothesis
Hypothesis a clear, testable statement that predicts an outcome and gives a scientific reason
  • It follows an if, then, because structure.
2The because clause
  • The because clause it must rest on established biology such as enzyme function, osmosis or ecological interactions
  • If temperature increases, enzyme activity will increase,
    • because higher kinetic energy raises the frequency of effective collisions between active site and substrate, up to the optimum.
3Prediction against hypothesis
  • Prediction against hypothesis a prediction alone is not a hypothesis without the justification
4Provisional
  • Provisional a hypothesis is a provisional explanation that repeated testing supports or refutes

Part 3 of 11Examples of explored investigations

InvestigationResearch questionHypothesis reason
EnzymesEffect of pH 4 to 10 on trypsin breaking down caseinTrypsin works in the alkaline small intestine, and pH away from the optimum changes the active site and denatures it (pepsin is best near pH 2 and trypsin near pH 8)
OsmosisEffect of sucrose concentration 0.0 to 1.0 M on the percentage mass change of potato cylinders after 24 hA higher concentration lowers the water potential of the solution, steepening the gradient so more water leaves the tissue
GerminationEffect of NaCl 0 to 2.0% w/v on the germination of radish seeds over 7 daysSalt lowers water potential and prevents the water uptake needed for metabolism, though halophytes are adapted to saline conditions

Part 4 of 11Designing: variables

Designing
Designing turning the research question into a step-by-step plan that collects enough high-quality data
Independent variable
  • Independent variable the single factor deliberately changed
  • Its range should bracket the expected optimum, such as seven buffers from pH 4 to 10.
Dependent variable
  • Dependent variable what is measured in response
  • For the enzyme example it is the time for casein to clear, with rate = 1 / time.
  • For osmosis it is percentage change in mass, so cylinders of different starting mass can be compared.
Controlled variables
  • Controlled variables every other factor that could plausibly affect the outcome, with the method of keeping it constant explained
  • Temperature in a water bath at 37 °C, enzyme and substrate concentrations and the total volume.
  • For potato, the same species and dimensions, the same solution volume, temperature and time.

Part 5 of 11Designing: range, repeats and method

Range
  • Range at least five values of the independent variable are recommended to establish a trend
  • Justify the choice, such as 10 to 50 °C because lower temperatures are too slow and higher ones may denature amylase.
Repeats
  • Repeats at least three trials per value, and five is better because of the variability of living things
  • Repeats allow a mean to be calculated and anomalies to be identified and discarded.
Method details
  • Method details give precise apparatus and quantities
  • Use 5 cm3 of 1% starch measured with a 10 cm3 graduated pipette and not some solution.
  • Use a size 5 cork borer to cut three cylinders and trim each to 3.0 cm with a scalpel and ruler.
Creativity
  • Creativity a colorimeter measuring starch loss with iodine is more objective than judging a colour change by eye
Structure of a method
  • A list of materials and apparatus with concentrations, sizes and precision.
  • A risk assessment with specific precautions and waste disposal.
  • Numbered step-by-step instructions.

Part 6 of 11Pilot studies and other approaches

Pilot study
Pilot study a small trial run to check that the method works
  • It shows, for example, whether an enzyme reaction is too fast or too slow so concentrations can be adjusted.
Other sources of data
  • Databases such as GenBank for DNA sequences or the IUCN Red List for conservation status.
  • Simulations such as PhET for population dynamics or evolution.
  • Surveys using questionnaires on human physiology or ecological awareness.
Safety
  • Safety include specific measures
  • Goggles and a lab coat.
  • Iodine is an irritant.
  • Waste goes into designated containers.

Part 7 of 11Design examples

Enzyme investigation
  • Enzyme investigation pH 4 to 10 for trypsin acting on casein
  • Seven buffers cover acidic to alkaline conditions and bracket the known optimum.
  • A water bath at 37 °C keeps temperature constant so only pH affects the rate.
Osmosis investigation
  • Osmosis investigation six sucrose concentrations of 0.0, 0.2, 0.4, 0.6, 0.8 and 1.0 M
  • The range includes pure water and hypertonic solutions so the isotonic point can be found.
  • Pat the cylinders dry before weighing, because surface water would cause a systematic error.

Part 8 of 11Controlling variables: calibration

Controlling variables reduces systematic errors, which shift all results in one direction
  • It makes sure any change is due to the independent variable and the results are valid.
Calibration
Calibration checking an instrument against a known standard and adjusting it
Instruments
  • pH meter: calibrate with at least two standard buffers such as pH 4.00 and 7.00.
  • CO2 and O2 sensors: calibrate against known gas concentrations in air.
  • Eyepiece graticulecalibrate with a stage micrometer at each magnification.
  • Thermometers and probescheck in boiling distilled water (100.0 °C) and crushed ice (0.0 °C).
  • Balancestare before every use.

Part 9 of 11Controlling the environment and sampling

Temperature
  • Temperature use a thermostatically controlled water bath or incubator
  • Let samples acclimatise in it before starting.
Other conditions
  • Other conditions control light intensity with a lamp at a fixed distance, and humidity
  • A variable that cannot be controlled perfectly should be monitored and recorded.
Samples
  • Samples biological material is naturally variable, so use representative samples and replication
  • Choose samples as similar as possible, such as the same potato variety or organisms of the same age and sex.
  • Use five or more replicates, such as potato cylinders, at each concentration.
  • In ecology use random sampling with quadrats.
Control run
Control run a set-up treated exactly like the experimental ones but without the independent variable
  • It proves the independent variable alone causes the effect.
  • An antibiotic experiment has a plate of bacteria with no antibiotic.
  • A starch experiment has starch with no enzyme, to show it does not break down on its own.

Part 10 of 11Control examples

Trypsin and casein
  • Temperaturetubes in a water bath at 37 °C for 10 minutes before mixing, because enzyme rate is sensitive to temperature.
  • Concentrationslarge stock solutions and the same volumes measured with graduated pipettes.
  • Control tubecasein with buffer at pH 8 and boiled trypsin, to show that breakdown is caused by the active enzyme.
Potato and sucrose
  • Natural variationall cylinders from the same potato with five replicates per concentration.
  • Surface areaall cylinders cut with the same size 5 cork borer and trimmed to 3.0 cm.
  • Temperaturetubes kept in the same place away from windows and heat for 24 hours.
Priority
  • Priority focus on the variables with the most effect, such as temperature in an enzyme experiment and evaporation in an osmosis experiment

Part 11 of 11More from the specification

More from the specification
Consulting Scientific Sources and Gaining Insight
  • Effective scientific inquiry begins by consulting authoritative scientific literature to gain theoretical insight into the biochemical mechanisms and variables influencing an experimental system.
Formulating Hypotheses with Biological Models
  • In enzyme investigations, researchers use protein models such as casein protein digestion by protease to formulate testable hypotheses regarding reaction kinetics and substrate breakdown.
Experimental Design with Plant Tissues
  • When investigating osmosis in Solanum tuberosum (potato) tissue, cylindrical samples are immersed in graded sucrose solutions to determine internal tissue water potential.
Control Groups and Maintaining Constant Variables
  • To ensure valid and reliable results, scientists include a negative control group and maintain constant external variables such as temperature, pH,
  • and incubation time.
Consulting Scientific Sources and Gaining Insight
  • Effective scientific inquiry begins by consulting authoritative scientific literature to gain theoretical insight into the biochemical mechanisms and variables influencing an experimental system.
Formulating Hypotheses with Biological Models
  • In enzyme investigations, researchers use protein models such as casein protein digestion by protease to formulate testable hypotheses regarding reaction kinetics and substrate breakdown.
Experimental Design with Plant Tissues
  • When investigating osmosis in Solanum tuberosum (potato) tissue, cylindrical samples are immersed in graded sucrose solutions to determine internal tissue water potential.
Control Groups and Maintaining Constant Variables
  • To ensure valid and reliable results, scientists include a negative control group and maintain constant external variables such as temperature, pH,
  • and incubation time.
Control group
  • Group not given the treatment, for comparison

Key terms

TermMeaning
Research questionA focused question linking an independent and a dependent variable.
HypothesisA testable prediction with a scientific explanation.
Pilot studyA small trial run to test and refine a method.
Controlled variableA factor kept constant so it does not affect the result.
Systematic errorAn error that shifts all results in the same direction.
CalibrationChecking an instrument against a known standard and adjusting it.
Control runA set-up identical to the experiment except that the independent variable is absent.
ReplicateA repeat of a treatment used to find a mean and spot anomalies.

Avoid these mistakes

1
Writing a hypothesis with no because scientific reason — a hypothesis must give the reason
2
Choosing a research question with two independent variables — investigate one relationship in depth
3
Saying keep it the same without describing how — name the method, such as a water bath, the same volume and the same source
4
Forgetting to calibrate instruments — this leaves systematic errors

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