Quantitative data Flashcards
Descriptive statistics
Provide some valuable insight into our data
Inferential statistics
Allows you to make predictions/inferences from that data
Correlational statistics
Allows us to tell whether a relationship exists between two variables
Type 1 error
Error made when one accepts something as true that is false
FALSE POSITIVE
Type 2 error
Error made when one accepts something as false that is true
FALSE NEGATIVE
P values
The probability of error so a lower P value the better
What is a significant P value
0.05
Parametric data
Unpaired t test - Groups
Paired test - Conditions
Non-parametric data
Mann whitney - Groups
Wilcoxon - Conditions
Paired samples t-test
Used to test whether two samples mean, collected from the same groups on two separate occasions, are significantly different from each other
Unpaired samples t-test
Allows us to test whether sample means from different populations are significantly different from each other
Intention to treat analysis
Participants are analysed within their assigned groups regardless of their adherence
Per-protocol analysis
Participants are analysed based on their adherence to the intervention
R value
Ranges from 0.00 to 1.00 which expresses the relationship
Strong positive R value example
+1.0
