•Inferential statistics – these calculate how likely the results are due to the independent variable and not just due to chance – it is seeing if the difference between the conditions is enough
•Probability: P< 0.05 is mostly used – this means the 5% of the results due to chance
When choosing a statistical test you need to know:
You need to know:
1.If it is a test of difference or a relationship
2.The type of data – nominal, interval/ratio,
3.Participant design
•Spearman’s – relationship, correlation - participant gives both scores, data is ordinal (rating/ordered) This was used in the psychodynamic practical
•Chi squared – data is nominal (categories), need to know the df. Test of difference. This was used in the learning practical.
•Mann whitney – test of difference, independent groups, ordinal or interval/ratio data (scores) This was used in the biological practical.
•Probability: P< 0.05 is mostly used – this means the 5% of the results due to chance
When choosing a statistical test you need to know:
You need to know:
1.If it is a test of difference or a relationship
2.The type of data – nominal, interval/ratio,
3.Participant design
•Spearman’s – relationship, correlation - participant gives both scores, data is ordinal (rating/ordered) This was used in the psychodynamic practical
•Chi squared – data is nominal (categories), need to know the df. Test of difference. This was used in the learning practical.
•Mann whitney – test of difference, independent groups, ordinal or interval/ratio data (scores) This was used in the biological practical.