Cohen's kappa is used to compare the degree of consensus between raters (inspectors) in, for example, Measurement Systems Analysis. It uses a contingency table approach.
Two raters inspect 150 parts independently and make the following determinations:



Bret




Reject

Accept

Total


Reject 
20

19

39

Alice 
Accept 
1

110

111


Total 
21

129

150

The expected values in each cell would be:



Bret




Reject

Accept

Total


Reject 
5.46

33.54

39

Alice 
Accept 
15.54

95.46

111


Total 
21

129

150

These are the values that would give the same totals if the determinations were made by pure chance and is calculated from:
(row total x column total)/overall total
The Kappa statistic is calculated from:
where:
Actual 
the number of times the appraisers agreed (110 + 20 = 130) 
Expected 
the number of times they would have agreed by chance (5.46 + 95.46) 
Trials 
the number of trials 
The value of Kappa will be between 0 and 1.
If the results were made by chance, neither rater showing judgment the value would be zero. If the raters were in perfect agreement, the number of agreements would equal the number of trials and Kappa would be 1.
