WJEC A-Level Psychology 601-5719-7
Psychology Past to Present — The Five Approaches
Contemporary Debates
Principles of Research and Application of Research Methods
Mathematical Requirements for Psychology (Appendix A: AS Unit 2 and A2 Unit 4)
Addictive BehavioursAddictive
Autistic Spectrum BehavioursAutistic spectrum
Bullying BehavioursBullying
Criminal BehavioursCriminal
SchizophreniaSchizophrenia
StressStress
Controversies in Psychology
Applied Research Methods
Applied Research Methods
Graphical Representation: Distribution Curves — normal distribution and its properties
- 3 things to know
- A2 Unit 4
Overview
Recall questions on Distribution Curves — normal distribution and its properties.
What you need to know
Answer each one before you reveal it.
Where do the mean, the median and the mode lie in a normal distribution?
Give two human characteristics that are normally distributed in the population.
Questions from this subtopic
Each one with the model answer underneath.
- 1
What does a distribution curve show?
Model answer
It shows the shape of a whole set of scores, with the values of the variable along the horizontal axis and the frequency with which each value occurs on the vertical axis.
- 2
How does a distribution curve relate to a histogram of the same data?
Model answer
It is the smooth line obtained by joining the tops of the histogram's bars, so it presents the same information as one continuous shape rather than as separate columns.
- 3
Describe the shape of a normal distribution.
Model answer
It is a symmetrical bell-shaped curve with a single peak at the centre and two tails that fall away equally on either side.
- 4
Where do the mean, the median and the mode lie in a normal distribution?
Model answer
All three fall at the same point, at the centre of the curve directly beneath the peak.
- 5
What proportion of the scores lies above the mean in a normal distribution?
Model answer
Exactly half of the scores lie above the mean, because the curve is symmetrical about it.
- 6
What is meant by saying that the tails of a normal curve are asymptotic?
Model answer
It means the curve draws ever closer to the horizontal axis without ever touching it, because however rare an extreme score may be it always remains possible.
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