Heating curves: practical
I can collect data reliably and represent it appropriately.
Heating curves: practical
I can collect data reliably and represent it appropriately.
These resources will be removed by end of Summer Term 2025.
Lesson details
Key learning points
- An investigation can measure the temperature change through continuous heating of a substance.
- Heating curve observations are best presented in a table and graphically.
- Reliable data can be collected by taking repeat measurements, identifying anomalies and calculating a mean.
- Heating curves can be used to determine the melting point of a substance.
Keywords
Independent variable - the single variable that is changed in an investigation
Dependent variable - the single variable that is measured or observed in an investigation
Control variable - all variables, other than the independent and dependent variables, that are kept the same in an investigation
Common misconception
Pupils can often think that when the temperature is not increasing, i.e. at a change of state, that the experiment is 'not working'.
Question students whilst circulating the class about what they would expect to see and try to get them to imagine what is happening to the particles. Use the heating curve to explain why the temperature did not increase during state changes.
Equipment
bunsen burner, tripod, beaker for water bath, gauze, heat resistant mat, clamp and stand, thermometer, boiling tube, substances to heat e.g. stearic acid, salol, graph paper
Content guidance
- Risk assessment required - equipment
Supervision
Adult supervision required
Licence
This content is © Oak National Academy Limited (2024), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).
Lesson video
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Starter quiz
6 Questions
Exit quiz
6 Questions
variable that you change or select values for
variable that you measure or observe to get your results
variable that must remain the same throughout an investigation
value that does not fit the pattern of the results
average calculated by adding all values, dividing by number of results