Skip to main content
ScotlandChemistrySyllabus dot point

What practical and data skills does the course test alongside the chemistry?

Skills of scientific inquiry: planning and variables, presenting data in tables and graphs, processing calculations, drawing conclusions, and evaluating reliability.

An SQA National 5 Chemistry answer on the skills of scientific inquiry, covering planning and variables, presenting data in tables and graphs, processing calculations, drawing valid conclusions, and evaluating the reliability of an experiment.

Generated by Claude Opus 4.811 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

Have a quick question? Jump to the Q&A page

Jump to a section
  1. What this key area is asking
  2. Planning and variables
  3. Presenting data
  4. Processing the data
  5. Drawing conclusions
  6. Evaluating reliability
  7. Worked example: choosing variables and improving a method
  8. Examples in context
  9. Try this

What this key area is asking

The SQA tests the skills of scientific inquiry across both the question paper and the assignment: planning an experiment and identifying variables, presenting data in tables and graphs, processing it with calculations, concluding from the evidence, and evaluating reliability. These skills carry real marks and are easy to lose through carelessness.

Planning and variables

For example, in investigating how concentration affects rate, the concentration is the independent variable, the rate (or time taken) is the dependent variable, and the temperature and amount of solid are controlled variables.

Presenting data

Processing the data

Processing means doing the calculations the data needs, such as average rate, the mole, concentration or energy released with Eh=cmΔTE_h = cm\Delta T. Always show working and give the unit with the answer. Many of these calculations are the ones drilled in the three content areas, reused here on experimental data.

Drawing conclusions

Evaluating reliability

Worked example: choosing variables and improving a method

Examples in context

These skills are exactly what a working chemist does: a quality-control analyst plans a fair test, records data carefully, processes it, draws a conclusion against a standard, and evaluates whether the result is reliable enough to trust. In the exam, inquiry-skill questions often sit inside a content question, so a single rates question may ask you to read a graph, calculate an average rate, and suggest why two students got different results, all at once.

Try this

Q1. Define the independent variable and the dependent variable. [2 marks]

  • Cue. Independent is the one you change; dependent is the one you measure.

Q2. State one way to improve the reliability of an experiment. [1 mark]

  • Cue. Repeat it and take an average (discarding any outlier).

Q3. State two features a line graph must have to earn full marks. [2 marks]

  • Cue. Both axes labelled with quantity and unit, and a best-fit line (plus a sensible scale and accurate points).

Exam-style practice questions

Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

SQA N5 2019 style3 marksA student investigates how temperature affects the rate of a reaction. Identify the independent variable, the dependent variable, and one variable that must be kept the same to make it a fair test.
Show worked answer →

Markers reward each variable correctly identified.

The independent variable is the one the student deliberately changes: here it is the temperature.

The dependent variable is the one measured to see the effect: here it is the rate of reaction (for example the time taken or the volume of gas in a set time).

A variable that must be kept the same (a controlled variable) is, for example, the concentration of the acid, the mass of the solid, or the volume of solution. Keeping these constant makes it a fair test, so any change in rate can be linked to the temperature alone.

SQA N5 2021 style3 marksA student repeated an experiment three times and got results of 24.8, 25.0 and 30.2 cm cubed. Explain why repeating improves reliability, identify which result the student should leave out when averaging, and explain why.
Show worked answer →

A 3 mark answer needs the reason for repeating, the outlier, and the justification.

Repeating the experiment improves reliability because it lets the student check that results are consistent and calculate an average, which reduces the effect of small random errors in any single measurement.

The result the student should leave out is 30.2 cm cubed, because it is an outlier: it is far from the other two close results (24.8 and 25.0). Including it would distort the average, so it is discarded before averaging the two consistent results.

Related dot points

Sources & how we know this