| Term | Definition |
|
Mann Whitney U Test |
tests for the difference between the medians of two sets of data |
|
Mann Whitney U Test |
needs at least 6 replicates per data set and ideally 8 or 10 |
|
Student's t-Test |
tests for the difference between the means of two sets of normally distributed data |
|
Student's t-Test |
needs at least 12-15 replicates per data set before you can start to look for a normal distribution |
|
Student's t-Test |
is unlikely to be appropriate for data in the form of percentages, proportions or counts of animals |
|
Spearman Rank |
tests the strength of the correlation between two variables |
|
Spearman Rank |
ideally needs 12-15 pairs of data with values more or less evenly spread along the axis |
|
Spearman Rank |
Can't be used for scattergrams with a "U" or inverted "U" shaped pattern |
|
Normal Distribution |
The symmetrical bell shaped distribution you get if you take a large series of measurements and then plot them on a frequency histogram. |
|
Dispersion |
The spread of data around the average value |
|
Correlation |
a relationship between two variables where as one variable changes then there is a corresponding change in the second variable. |
|
Independent Variables |
A variable which you think may be important in "causing" variation in a second dependent Variable |