Fisher Criterion

Fisher criterion (F-criterion, φ*-criterion, the least significant difference) is a parametric criterion and it is used to compare variances of two variational series.

Consider two populations that include respectively m and n random values X and Y, and have normal distribution. Let us test if the variances of these samples are equal. Test statistics:

where is the sample variance.

If the statistics is greater than the critical value, the variances are not equal. Otherwise sample variances are equal.

The tables of the F criterion critical values for the significance level of 0.05:

f2\f1	1	2	3	4	5	6
1	161.45	199.50	215.71	224.58	230.16	233.99
2	18.51	19.00	19.16	19.25	19.30	19.33
3	10.13	9.55	9.28	9.12	9.01	8.94
4	7.71	6.94	6.59	6.39	6.26	6.16
5	6.61	5.79	5.41	5.19	5.05	4.95
6	5.99	5.14	4.76	4.53	4.39	4.28
7	5.59	4.74	4.35	4.12	3.97	3.87
8	5.32	4.46	4.07	3.84	3.69	3.58
9	5.12	4.26	3.86	3.63	3.48	3.37
10	4.96	4.10	3.71	3.48	3.33	3.22
11	4.84	3.98	3.59	3.36	3.20	3.09
12	4.75	3.89	3.49	3.26	3.11	3.00
13	4.67	3.81	3.41	3.18	3.03	2.92
14	4.60	3.74	3.34	3.11	2.96	2.85
15	4.54	3.68	3.29	3.06	2.90	2.79
16	4.49	3.63	3.24	3.01	2.85	2.74
17	4.45	3.59	3.20	2.96	2.81	2.70
18	4.41	3.55	3.16	2.93	2.77	2.66
19	4.38	3.52	3.13	2.90	2.74	2.63
20	4.35	3.49	3.10	2.87	2.71	2.60

f2\f1	7	8	9	10	15
1	236.77	238.88	240.54	241.88	245.95
2	19.35	19.37	19.38	19.40	19.43
3	8.89	8.85	8.81	8.79	8.70
4	6.09	6.04	6.00	5.96	5.86
5	4.88	4.82	4.77	4.74	4.62
6	4.21	4.15	4.10	4.06	3.94
7	3.79	3.73	3.68	3.64	3.51
8	3.50	3.44	3.39	3.35	3.22
9	3.29	3.23	3.18	3.14	3.01
10	3.14	3.07	3.02	2.98	2.85
11	3.01	2.95	2.90	2.85	2.72
12	2.91	2.85	2.80	2.75	2.62
13	2.83	2.77	2.71	2.67	2.53
14	2.76	2.70	2.65	2.60	2.46
15	2.71	2.64	2.59	2.54	2.40
16	2.66	2.59	2.54	2.49	2.35
17	2.61	2.55	2.49	2.45	2.31
18	2.58	2.51	2.46	2.41	2.27
19	2.54	2.48	2.42	2.38	2.23
20	2.51	2.45	2.39	2.35	2.20