IBDP Biology IA Data Analysis Help

This clear, student-friendly guide supports IB Biology students through the data analysis stage of the Internal Assessment, from organising raw data through to selecting statistical tests and writing evidence-based conclusions.
Designed specifically for Biology IA work, the resource explains how to build properly formatted results tables, understand SD and SE error bars, identify outliers using the IQR method, create appropriate graphs, choose suitable statistical tests, and interpret p-values accurately.
The guide is structured as a practical workflow, helping students move step by step from raw data to a statistically supported conclusion.

What’s Included?
11-page PDF data analysis guide
Step-by-step IA data analysis workflow
Guidance on creating results tables
Explanation of SD and SE error bars
Outlier detection guidance using box-and-whisker plots and the IQR method
Graphing guidance for scatter plots and bar charts
Statistical test decision tree guidance
Explanations of t-test, ANOVA, Tukey HSD, chi-squared test, Pearson’s r and Spearman’s rank
p-value interpretation table
Quick-reference statistical test summary
Links/references to supporting Teaching with Tech online tools

Why Teachers Love This Resource
Ready to use with minimal preparation
Saves time when teaching IA data analysis
Provides a clear workflow students can follow independently
Supports students with one of the most challenging parts of the Biology IA
Helps students make informed choices about graphs and statistical tests
Promotes scientific rigour when handling outliers
Includes clear explanations, examples and quick-reference tables
Useful for IA preparation, coursework support and revision
Supports development of data-processing, graphing and statistical interpretation skills
Links directly to practical online tools that help students produce results tables, graphs and statistical outputs

Suitable For
IBDP Biology
IB Biology Internal Assessment support
High School Biology students completing experimental investigations
Advanced biology students needing support with graphing and statistics

Keywords
IB Biology IA, Biology Internal Assessment, IB Biology data analysis, IA statistics, Biology IA statistics, data analysis guide, standard deviation, standard error, error bars, IQR method, outlier detection, box and whisker plot, scatter plot, bar chart, graphing biology data, statistical tests biology, t-test biology, ANOVA biology, chi-squared test, Pearson correlation, Spearman rank, p-value interpretation, Biology IA Criterion B, raw data processing, results table, science data analysis, IB Biology coursework, statistical conclusion, Teaching with Tech, Biology investigation