IB Biology · first assessment 2025

Paper 1B: data & experimental skills

Paper 1B contains four data-based questions linked to experimental work and the syllabus. In the current course, SL Paper 1B is 25 marks within the combined 1 h 30 min Paper 1, while HL Paper 1B is 35 marks within the combined 2 h Paper 1. A calculator is permitted.

Independent study resource. This page summarizes publicly available syllabus skills and uses original examples; it does not reproduce official examination questions.

Microscopy & scale

Calculate magnification and actual size, use scale bars correctly, estimate densities in fields of view, and reason from micrographs.

Data summaries

Calculate and interpret means, medians, ranges, standard deviation and standard error; recognize continuous versus discrete variation.

Statistical tests

Apply and interpret t-tests and chi-squared tests, including null hypotheses, degrees of freedom and statistical significance.

Graphs & relationships

Construct and interpret bar charts, histograms, scatter graphs, line/curve graphs, logarithmic graphs and box-and-whisker plots; use r and R² appropriately.

Ecological sampling

Use quadrats, capture–mark–release–recapture, the Lincoln index and Simpson reciprocal index, while evaluating sampling assumptions.

Experimental reasoning

Identify variables, controls, uncertainty, random/systematic effects, reliability, validity, outliers, limitations and targeted improvements.

High-value calculator set

Magnification & actual size

Calculate magnification, image size or actual size with automatic mm–µm–nm conversion and full working.

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Field-of-view density

Estimate cell or stomatal density from a count within a circular microscope field of view.

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Mean, median, mode & range

Summarize biological replicate data with n, mean, median, mode, minimum, maximum and range.

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SD & standard error

Calculate sample and population standard deviation plus standard error of the mean for replicate measurements.

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Regression, r & R²

Fit a straight line to paired biological data and calculate slope, intercept, Pearson r and R² with a graph.

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Two-sample t-test

Compare two biological samples with an independent Welch t-test or paired t-test and report t, df and two-tailed p.

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Chi-squared test

Calculate χ², degrees of freedom and an approximate p-value for goodness-of-fit data or a 2×2 association table.

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Lincoln index

Estimate population size from capture–mark–release–recapture data using the Lincoln index.

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Simpson reciprocal index

Calculate the Simpson reciprocal diversity index from species abundance counts.

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Percentage change & difference

Calculate signed percentage change or symmetric percentage difference between biological measurements.

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Relationships worth being fluent with

AreaRelationshipTypical use
MicroscopyM = image size / actual sizeMagnification, actual size and scale-bar reasoning.
Ratesrate = Δquantity/ΔtimeGrowth, reaction/physiology rates and graph gradients.
SamplingLincoln: N = n₁n₂/n₃Capture–mark–release–recapture population estimates.
DiversityD = N(N−1)/Σn(n−1)Simpson reciprocal diversity index.
Geneticsp + q = 1; p² + 2pq + q² = 1HL Hardy–Weinberg predictions.
StatisticsSD, SE, t, χ², r and R²Spread, uncertainty, significance and strength of fitted relationships.

A reliable way to attack a Paper 1B question

  1. Identify what was measured, the units, sample size and any uncertainty/error bars.
  2. Describe the pattern before explaining it: direction, shape, maxima/minima, scatter and outliers.
  3. Choose a calculation or statistical test that matches the data type and experimental design.
  4. Separate correlation from causation and statistical significance from biological importance.
  5. For sampling questions, state the assumptions that connect the sample to the population.
  6. For evaluation, link a specific limitation to its likely effect and a targeted improvement.

Try 24 original Paper 1B tasks Experimental skills checklist