OCR A-Level Physics B H557
Planning
Implementing
Analysis
Evaluation
Practical Skills
Use of Apparatus and Techniques
Fundamental Data Analysis
Imaging and Signalling
Sensing
Mechanical Properties of Materials
Waves and Quantum Behaviour
Space, Time and Motion
Creating Models
Out Into Space
Our Place in the Universe
Matter: Very Simple
Matter: Hot or Cold
Electromagnetism
Charge and Field
Probing Deep Into Matter
Ionising Radiation and Risk
Analysis
Graphs, gradients and intercepts
- 3 things to know
- Components 01, 02 and 03
Overview
Recall questions on scales and axis labels, false origins, best-fit lines, gradients and their units, tangents to curves, intercepts, and what the area under a line represents.
What you need to know
Answer each one before you reveal it.
Which variable is plotted on each axis of an experimental graph?
Why might a graph be plotted with a false origin, and what must then be made clear?
Questions from this subtopic
Each one with the model answer underneath.
- 1
Which variable is plotted on each axis of an experimental graph?
Model answer
The independent variable goes on the horizontal axis and the dependent variable on the vertical axis.
- 2
How should the scales of a graph be chosen?
Model answer
So that the plotted points occupy at least half of each axis, using simple divisions such as 1, 2 or 5 units per square rather than awkward ones such as 3.
- 3
How must the axes of a graph be labelled?
Model answer
With the quantity and its unit, written as quantity divided by unit, for example F / N.
- 4
Why might a graph be plotted with a false origin, and what must then be made clear?
Model answer
A false origin lets a narrow range of values fill the grid, and the axes must show clearly that they do not start at zero so no one reads an intercept from them.
- 5
How is a line of best fit drawn?
Model answer
A single straight line or smooth curve is drawn with the points scattered evenly on either side of it, ignoring any clearly anomalous point.
- 6
Why should a large triangle be used when a gradient is measured?
Model answer
The uncertainty in reading each coordinate is fixed, so making the differences large makes those reading uncertainties a smaller fraction of the gradient.
Other ways to work this
The same content, four other ways.
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