AQA A-Level Psychology 7182
Social Influence
Memory
Attachment
Approaches in Psychology
Biopsychology
Clinical Psychology and Mental Health
Research Methods
Scientific Processes
Quantitative and Qualitative Data
Data Handling and Analysis
Inferential Testing
Issues and Debates in Psychology
RelationshipsOption 1
GenderOption 1
Cognition and DevelopmentOption 1
SchizophreniaOption 2
Eating BehaviourOption 2
StressOption 2
AggressionOption 3
Forensic PsychologyOption 3
AddictionOption 3
Explanations for Nicotine AddictionOption 3
Quantitative and Qualitative Data
Presentation and display of quantitative data: graphs, tables, scattergrams, bar charts
- 3 things to know
- Paper 2
Overview
Scattergrams, bar charts, histograms and tables, what each is used to show, and the conventions for setting out axes.
What you need to know
Answer each one before you reveal it.
How does a bar chart differ from a histogram?
How should the axes of a graph be set out?
Questions from this subtopic
Each one with the model answer underneath.
- 1
On a standard graph, which axis typically displays the independent variable and which displays the dependent variable?
Model answer
The independent variable is typically displayed on the x-axis (horizontal) and the dependent variable on the y-axis (vertical)
- 2
What is the purpose of using graphs to display quantitative data?
Model answer
Graphs display quantitative data using axes to show the relationship between variables visually
- 3
What is a scattergram?
Model answer
A scattergram displays the relationship between two continuous variables by plotting individual data points, with each point representing one participant's scores on both variables
- 4
On a scattergram, what pattern of data points indicates a positive correlation?
Model answer
Points trending from bottom-left to top-right indicate a positive correlation
- 5
How would data points appear on a scattergram showing a negative correlation?
Model answer
Points would trend from top-left to bottom-right
- 6
On a scattergram, how can you visually determine whether a correlation is strong or weak?
Model answer
Points clustered closely around an imaginary line indicate strong correlation, while widely scattered points indicate weak or no correlation
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