Surfstat.australia: an online text in introductory Statistics
STATISTICAL INFERENCE
SUMMARY
How To Choose The Appropriate Method For Statistical Inference
- Are the data continuous or categorical:?
- How many sets of measurements ?
- one - 1 variable measured on 1 sample
- two - 1 variable measured on 2 (independent or dependent) samples
- two - 2 variables measured on 1 sample
| Scale | Sets of measurements |
| 1 sample | 2 samples | 1 sample |
| 1 variable | 1 variable | 2 variables |
| continuous | z or t | z or t | correlation
or regression |
| categorical | binomial or
c2
| binomial or
c2
|
c2
|
1 sample/group - 1 variable - continuous scale
Model: assume
To make inferences about µ
use Z =
~ N(0,1) if
s is known
OR
use
~ tn-1
if s is estimated by s.
2 samples/groups - 1 variable - continuous scale
1 sample/group - 2 variables - both continuous
(i) Are both variables random (e.g. measurements or responses) or
were the values of one variable chosen by the investigator?
(ii) Association or prediction ?
1 sample - 1 variable - categorical
2 samples/groups - 1 variable - categorical
1 sample/group - 2 variables - categorical
Data are frequencies in contingency table - use the
c2
test