Mean

n

Median

STDEV

Cp Cpk % out of tolerance

Min/Max

Compare with

Calculate Difference

Diff mean normally

Diff median not normally

Diff variation normally

Diff variation not normally

Normally test

Correlation

Regression

Kurtosis

Skewness

For commercial use

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This non parametric test is for not normally distributed data but before using this test try to find out why the data is not normally distributed see "What to do with not normally distributed data".

- The smaller the p value is the more likely there is a significant difference between the data-set and the hypothesized value.
- Develve uses the commonly accepted value of p < 0.05 for significance.
- Because Develve uses normal approximation sample size must be bigger than 20
- For a good power (0.8 in Develve) the sample size data sets must be bigger than the minimum sample size calculated.
- If the data-sets is normally distributed use the 1 sample t-test

- The data is paired.
- Data is randomly and independent

- GreenNo significant difference
- YellowSignificant difference
- OrangeSample size to small

With the z value the p value can be found in the normal table.

= Amount of samples minus values that are the same as comparing value

= amount of ties of the absolute rank

The result is the minimum sample size of the data-set.

Data file

This non parametric test is for not normally distributed data but before using this test try to find out why the data is not normally distributed see "What to do with not normally distributed data"

- The smaller the p value is the more likely there is a significant difference between the 2 data-sets.
- Develve uses the commonly accepted value of p < 0.05 for significance.
- Because Develve uses normal approximation sample size must be bigger than 20
- For a good power (0.8 in Develve) the sample size for both data sets must be bigger than the minimum sample size calculated.
- If both data-sets are normally distributed use the 2 sample t-test

- Data is randomly and independent.
- The data is continuous.
- The shape of the distribution of both data-sets is the same.

- GreenNo significant difference
- YellowSignificant difference
- OrangeSample size to small

With the smallest U value the z score is calculated.

With the z value the p value can be found in the normal table.

and = Amount of samples

= amount of ties of a rank

is the biggest one of the two comparing data sets. The result is the minimum sample size for both data sets.

Data file

- http://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U
- http://en.wikipedia.org/wiki/Wilcoxon_signed-rank_test
- http://en.wikipedia.org/wiki/Non-parametric_statistics