Friday, April 6, 2012

Run Test

I learn something new from the past Kulim training.

A Green Belt shared with me how we can apply Run Test to test if the sample series is distributed randomly.
Test procedure as below

Minitab >> Stat >> Nonparametrics >> Run Test

Note : run test is a nonparametris test because we make no assumptions about the distribution of the population being sampled

Session Window

Runs test for C1

Runs above and below K = 10.0000

The observed number of runs = 17
The expected number of runs = 15.7333
17 observations above K, 13 below
P-value = 0.632

P-value > 0.05, the data being test is no significant different evident to proof the data is not in random order.

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