Paper 2 in SEHS: How to Tackle Data-Based Questions Without Panicking

Underline exactly what is being asked.

Step 2: Decode the Data Presentation

Before writing anything, clarify:

• Independent and dependent variables
• Units and scales
• Type of data (mean, standard deviation, percentage change)
• Graph format (line, bar, table)

This prevents misinterpretation later.

Step 3: Describe Trends Precisely

Use quantified language, not vague statements.

For example:
“As VO₂ increases from 2.0 to 3.5 L·min⁻¹, heart rate rises from approximately 120 to 170 bpm, after which the increase becomes less pronounced.”

Precise numbers signal control and accuracy.

Step 4: Anchor Observations to SEHS Theory

This is where marks are gained.

Depending on the context, link trends to:

• Energy systems, stroke volume, oxygen delivery, or fatigue
• Motor unit recruitment, lever efficiency, or force production
• Motivation, arousal, reaction time, or cognitive processing

Explain why the data behaves as it does.

Step 5: Evaluate and Reflect

When evaluation is required, address:

• Anomalies or inconsistencies
• Sample size and participant variability
• Measurement reliability or validity
• Suggested improvements (e.g. repeated trials, control variables, refined protocols)

Evaluation demonstrates higher-order thinking.

Example: How to Break Down a Typical Prompt

Scenario:
A table shows mean reaction times (± SD) of sprinters before and after a mental imagery programme.

Effective approach:

• Describe the reduction in mean reaction time and any change in variability
• Explain improvements using cognitive processing speed and neuromuscular readiness
• Evaluate limitations such as small sample size, learning effects, or lack of control group

This structure consistently matches examiner expectations.

Statistical Understanding You Should Be Comfortable With

You should be able to:

• Interpret mean values and standard deviation
• Compare groups or conditions using differences in averages
• Explain what error bars indicate
• Distinguish consistency from variability

You are not expected to perform complex statistics—but you must interpret them accurately.

A Simple Answer Structure You Can Reuse

1. Identify what the question asks
2. Define key data features (variables, units, format)
3. Describe trends using numbers
4. Explain trends using SEHS theory
5. Evaluate limitations and improvements

Using this structure prevents incomplete answers.

How to Prepare Effectively

To improve quickly:

• Practise data-based SEHS questions under timed conditions
• Focus on linking numbers to theory, not rewriting the data
• Review examiner language and mark allocations
• Test yourself on identifying command terms and required depth

Consistency matters more than volume.

Final Advice

SEHS Paper 2 data questions reward clarity, precision, and application. When you follow a repeatable strategy—reading carefully, describing accurately, explaining with theory, and evaluating thoughtfully—data stops being intimidating and starts becoming a scoring opportunity.