Processing Data in Biology (DP IB Biology): Revision Note
Processing data in Biology
This is the "calculation" phase of your investigation
Data processing involves applying mathematical calculations to your raw data to determine the final values you need to answer your research question
For example, calculating a percentage change in mass, a rate of reaction, or a standard deviation
The goal is to carry out relevant and accurate calculations, including measures of data spread, and to present the results clearly
Principles of data processing
Carry out relevant and accurate data processing
Your processed data should be presented in a new, clearly labelled table
It is good practice to show the raw data and processed data in separate tables
Show your working clearly
For every type of calculation you perform, you must show one full, worked example
Calculating a mean
When you have repeat trials (replicates), you must calculate a mean (average) value to use in your analysis
You should exclude any justified anomalous results from your calculation
Calculating percentage change
In biology, we often measure the change in a variable relative to its initial value. This is useful for comparing samples that may not have had identical starting values
Percentage Change = ((Final Value – Initial Value) / Initial Value) × 100
Calculating a rate
For enzyme experiments, you usually measure the time taken for an event
You must convert this into a rate to analyse the enzyme's activity
Rate = 1 / time (units will be s⁻¹) or Rate = change in a variable / time (e.g., cm³ s⁻¹)
Calculating measures of dispersion
Due to the high variability in biological data, it is important to quantify the spread of your data around the mean
Standard deviation (SD) is the most common measure
A small SD indicates that the data points are clustered closely around the mean (high precision), while a large SD indicates a wider spread
Significant figures
Your final calculated answer should be given to a number of significant figures that reflects the precision of the raw data used
The general rule is that your final answer should have the same number of significant figures as the least precise piece of data used in the calculation
Worked Example
Research question:
"What is the effect of sucrose concentration on the percentage change in mass of potato cylinders?"
Raw data table:
Replicate | Initial Mass / g (±0.01) | Final Mass / g (±0.01) |
|---|---|---|
1 | 1.91 | 2.02 |
2 | 1.89 | 1.99 |
3 | 1.87 | 1.98 |
Processing the data (sample calculation for Replicate 1):
Calculate the change in mass:
Change in mass = Final mass – initial mass
Change in mass = 2.02 g – 1.91 g = +0.11 g
Calculate the percentage change in mass:
% Change = (Change in mass / initial mass) × 100
% Change = (0.11 g / 1.91 g) × 100 = +5.76%
Processed data table:
This table would show the calculated values for all replicates and conditions
Sucrose Conc. / M | Mean % Change in Mass | Standard Deviation of % Change |
|---|---|---|
0.0 | +14.8 | 0.4 |
0.2 | +5.5 | 0.3 |
0.4 | -3.2 | 0.5 |
0.6 | -10.1 | 0.4 |
0.8 | -15.6 | 0.6 |
Worked Example
Research question:
"What is the effect of pH (from pH 4 to pH 10) on the rate of activity of the enzyme trypsin in breaking down casein protein?"
Raw data table:
pH (±0.1) | Time (Trial 1) /s (±0.2) | Time (Trial 2) /s (±0.2) | Time (Trial 3) /s (±0.2) | Time (Trial 4) /s (±0.2) |
|---|---|---|---|---|
4.0 | 185.4 | 182.9 | 184.1 | — |
5.0 | 158.3 | 160.2 | 159.0 | — |
6.0 | 102.5 | 101.8 | 103.1 | — |
7.0 | 63.4 | 62.8 | 63.0 | — |
8.0 | 46.9 | 52.6 (anomalous) | 47.0 | 47.1 |
9.0 | 65.1 | 64.8 | 65.9 | — |
10.0 | 150.5 | 148.8 | 149.3 | — |
Processing the data (sample calculation for pH 7.0):
Calculate the average time :
Average time =
= 63.1 s
Calculate the rate of reaction
Rate = 1 / time
Rate =
= 0.01584786 s-1
Given the raw data has 3 s.f., the rate should be 0.0158 s-1
Final processed data table:
pH (±0.1) | Mean Time /s | Rate (1/time) /s⁻¹ |
|---|---|---|
4.0 | 184.1 | 0.0054 |
5.0 | 159.2 | 0.0063 |
6.0 | 102.5 | 0.0098 |
7.0 | 63.1 | 0.0158 |
8.0 | 47.0 (excluding anomaly) | 0.0213 |
9.0 | 65.3 | 0.0153 |
10.0 | 149.5 | 0.0067 |
Examiner Tips and Tricks
Show one full worked example
Even if you use a spreadsheet, you must show the assessor how you got from your raw data to your processed data for one set of values.
This is essential for gaining full marks
Watch your significant figures
A common error is to write down the full calculator display
Always round your final answer to the correct number of significant figures based on your raw data
Include a measure of spread
For a high-scoring biology IA, processing should go beyond just calculating the mean
Calculating the standard deviation for your replicates is essential to show the variability in your data
Separate raw and processed data
Presenting your initial measurements in one table and your calculated results in a second, final table makes your report much clearer and easier to follow
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