Eduqas A-Level Psychology A290QS
Biological Approach
Psychodynamic Approach
Behaviourist Approach
Cognitive Approach
Positive Approach
Comparing the Five Approaches
Core Studies in Social and Developmental Psychology
Planning Psychological Research
Data Handling, Statistics and Mathematical Skills
Evaluating and Validating Research
Personal Investigations and Novel Research Scenarios
Addictive BehavioursAddictive
Autistic Spectrum BehavioursAutistic spectrum
Bullying BehavioursBullying
Criminal BehavioursCriminal
SchizophreniaSchizophrenia
StressStress
Controversies in Psychology
Data Handling, Statistics and Mathematical Skills
Inferential statistics: Chi Square test
- 3 things to know
- Component 2
Overview
Recall questions on Inferential statistics: Chi Square test.
What you need to know
Answer each one before you reveal it.
State the meaning of the symbols ≤ and ≥.
State the meaning of the symbols ∝ and ≈.
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is the purpose of an inferential statistical test?
Model answer
It decides whether a difference or relationship found in the sample is statistically significant or whether it is likely to have arisen by chance.
- 2
What is a probability value in the context of a statistical test?
Model answer
It is the probability that the result obtained would have occurred by chance alone if there were no real effect.
- 3
What does a significance level of p ≤ 0.05 mean?
Model answer
It means there is a 5% or smaller probability that the result was due to chance, which is conventionally accepted as significant.
- 4
When would a researcher choose the more stringent 0.01 level?
Model answer
When being wrong would matter a great deal, such as in medical or drug research, or when checking an unexpected or previously unreplicated finding.
- 5
What is an observed value?
Model answer
It is the number produced by carrying out the calculation for the chosen test on the collected data, also called the calculated value.
- 6
What is a critical value?
Model answer
It is the value read from a statistical table that the observed value must be compared against to decide whether the result is significant.
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