IB Biology Internal Assessment Guide: The Lab Guide That Actually Gets You a 7
The IB Biology IA can feel like a minefield. But here’s the thing: a 7 isn’t reserved just for geniuses; in fact, it’s earned by students who know the formula. And lucky for you, we’re about to hand it to you, step by step.
The biology internal assessment accounts for 20% of the HL and 25% of the SL score, so it’s safe to say it’s an extremely important contributing factor of your final grade.
Get feedback on your IB Biology Report from our high-achieving IB tutors
With an average Tutor ATAR of 99.50, KIS Tutors are here to help you keep Learning Simple & Effective!
Start a Free Trial Lesson →What Do Examiners Really Want to See in Your IB Biology Lab Report?
The IB Biology IA is marked out of 24 marks across four criteria. Knowing these inside-out is your first advantage and is what separates a 6 student from a 7.
Criterion A: Research Design (6 marks)
This criterion focuses on demonstrating that you’ve thought carefully about what you’re investigating and how you’re going to do it. A strong research design signals scientific rigour before a single measurement is taken, so make sure you make a good impression on your examiner from the get-go!
- A focused research question that clearly states the dependent and independent variable, as well as the method of data collection
- Background information relevant to the exploration that is enough to contextualise your methodology and justify your hypothesis
- A clear and well-reasoned hypothesis in the format of a scientific hypothesis (e.g. If [independent variable] is [increased/decreased], then [dependent variable] will [increase/decrease] because [biological reasoning].)
- A precise explanation of the independent, dependent, controlled and uncontrolled variables.
- A complete list of materials and apparatus, including the quantity/volume required and the uncertainty of measuring instruments where applicable
- A clear, step-by-step method written so that another scientist could replicate the experiment without further guidance
- A risk assessment that considers personal safety, environmental implications and ethical issues
🔥 Hot tip: Don’t just list your controlled variables, instead, explain the reason why each one matters and state exactly how you controlled it. For example, ‘temperature was maintained at 25°C using a water bath as enzyme activity is highly temperature-dependent’ will score significantly better than ‘temperature was controlled’.
Stuck on formulating an idea?
Criterion B: Data Analysis (6 marks)
This criterion focuses on how you collect, process and analyze your data. It’s not enough to record numbers in a table, examiners want to see that you understand your data and know to handle uncertainty to then create meaningful scientific insight.
- Important qualitative observations recorded during the experiment (e.g. colour changes, precipitates, unexpected behaviour).
- A photo or labelled diagram of your experimental set-up
- Quantitative data organised into a clearly labelled table with correct units and consistent decimal places or significant figures.
- An outline of how the raw data was recorded and processed, including any calculations performed.
- Ensure all data has the correct units and decimal places or significant figures and are consistently applied throughout.
- Consideration of the impact of uncertainties (e.g. instrument uncertainty and propagated uncertainty through calculations.
- Confirmation that the data collected and processed are directly relevant to answering the research question.
- A graph of the processed data, with a descriptive title, labelled axes with units, error bars, and a trend line where appropriate.
🔥 Hot tip: Do NOT alter or omit data points because they don’t fit your expected trend. Anomalous results must be included in your raw data and make for interesting evaluation points. Cherry-picking data constitutes academic misconduct.
Criterion C: Conclusion (6 marks)
This criterion focuses on how you draw conclusions from the experimental data. A 7-worthy conclusion will not just describe their graph, but will also interpret and justify what happened in a scientific context.
Checklist:
- A thorough analysis of the graph, including the impact of the uncertainties and errors bars on the reliability of the observed trend
- Use of precise scientific language such as positive/negative correlation, error bars, statistical significance and outliers.
- A comparison of your experimental results with published literature values or accepted biological theory, with explanations for any discrepancies
- Where applicable, use of a mathematical test (e.g. t-test, chi-squared, correlation coefficient) to determine whether the results are statistically significant.
- State a conclusion that is relevant to the research question and justified by the data analysis results.
🔥 Hot tip: Your conclusion must be supported by your data, don’t overreach. If your results are inconclusive or don’t fully support your hypothesis, state so honestly and explain why. Examiners will reward justified and analyzed inconclusive results more than forced certainty.
Criterion D: Evaluation (6 marks)
This criterion focuses on how you critically evaluate the strengths and weaknesses of your experiment and propose possible changes to your methodology.
- Evaluation of the independent variables (e.g. scope, number of data points).
- Evaluation of how the dependent variable was measured.
- Evaluation of the methodology, including the limitations and sources of error, with corresponding realistic improvements to address them.
- One or two meaningful potential extensions for further investigations that build naturally on your findings.
🔥 Hot tip: Your improvements must be specific and actionable. For example, instead of ‘the experiment could be made more accurate’, try ‘a syringe with ±0.05 cm³ uncertainty should replace the measuring cylinder (±0.5 cm³) used to deliver the enzyme solution, reducing the percentage uncertainty in volume from 10% to 1%’.
How to format your Lab report
- Does not exceed 3000 words (graphs, tables with data, references and appendices are excluded from the word count).
- All pages are numbered.
- The IB candidate code is stated at the beginning of the report.
- The word count is explicitly stated at the start of the document.
- The title of the investigation is stated at the beginning of the investigation.
- All text and data are in the centre of the cell
- Legible text (e.g. font size 12 in Calibri)
Remember, the IB Biology IA isn't a test of how brilliant you are. Instead, it's a test of how methodical and thorough you can be. Every mark on the rubric is earnable, and every criterion rewards preparation! When writing your IA, keep the marking rubric open, always be specific in your explanations, be honest about your limitations, and link everything back to the biology.
If you do everything above, a 7 is well within your reach. Good luck!
Check out more of our IB study guides to learn how to score top marks.
FAQs
Can I do my IB Biology Internal Assessment on a topic not covered in the IB syllabus?
Yes, as long as it’s rooted in biology and you can provide relevant background information.
Can I use a secondary dataset instead of collecting my own data for my IB Biology Lab Report
Yes, but it’s risky. The IB Biology Internal Assessment is designed to assess experimental skills, and using secondary data makes Criterion A very hard to score well on. Additionally, you may have little to no qualitative observations which may weaken your conclusion. The evaluation section asks you to critically analyze your methodology, and if you didn’t carry out the experiment, this makes this section weaker. However, secondary data works well in situations when the dataset is from a published, citable scientific study with full raw data available. In this case, you must ensure that the research question is analytical rather than experimental.
What if my results don’t match my hypothesis?
That’s completely fine, and it’s actually a great opportunity! Discuss why is your conclusion and evaluation to provide insightful observations and to showcase your critical thinking skills. These are the things that examiners will reward over results that conveniently “work”.
Want more personalised study guidance to help drastically improve your marks? A private tutor from KIS Academics can make the biggest difference!
What Our Students & Parents Say
600+ Five-Star reviews across all our tutoring programs — hear why below !👇
Written by KIS Academics Tutor for IB Maths AA HL/SL, Biology HL/SL, Economics HL/SL, Chemistry SL, Alice Xu. Alice is currently pursuing a Bachelor of Biomedicine at the University of Melbourne and has received stellar reviews from her past KIS Academics students. You can view Alice’s profile here and request her as a tutor.