Solubility: analysis
I can draw an appropriate representation of solubility data and use it to write a conclusion.
Solubility: analysis
I can draw an appropriate representation of solubility data and use it to write a conclusion.
Lesson details
Key learning points
- Scientists transfer data to graphs in order to find any trends in the collected data.
- The type of data collected affects the type of graph used to present it.
- A line of best fit can help to identify and describe relationships between variables.
- Conclusions refer to both the independent and dependent variables when describing the data collected.
Common misconception
Pupils commonly confuse discrete & continuous data. They also think lines of best fit are straight.
Link *how* the data is collected to the type of data it is. Stress that best fit lines are just that - a best fit - they aren't exact!
Keywords
Discrete data - Data that can only take distinct values or is a category, e.g. shoe size, number of people.
Continuous data - Data that can be a value within a range, e.g. temperature, mass, height, etc.
Bar chart - Chart showing solid columns to present data; usually used when one variable is discrete.
Scatter graph - A graph in which two continuous variables are plotted. It is used to find if a relationship exists between the variables.
Line of best fit - A line of best fit is drawn through a set of plotted points on a scatter graph, to best show the trend in the data displayed.
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).
Video
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Starter quiz
6 Questions
Solute particles spread throughout the particles of solvent.
How well a solute is able to dissolve in a solvent.
Anything that can change in an investigation.
Mixture of an insoluble solid and liquid that will settle.
A substance that can dissolve in a specific solvent.
A substance that cannot dissolve in a specific solvent.