$\chi^{2}$-Quantiles

Si / $$df$$	0.01	0.025	0.05	0.1	0.25	0.5	0.75	0.9	0.95	0.975	0.99
1	0	0	0	0.02	0.1	0.45	1.32	2.71	3.84	5.02	6.63
2	0.02	0.05	0.1	0.21	0.58	1.39	2.77	4.61	5.99	7.38	9.21
3	0.11	0.22	0.35	0.58	1.21	2.37	4.11	6.25	7.81	9.35	11.34
4	0.3	0.48	0.71	1.06	1.92	3.36	5.39	7.78	9.49	11.14	13.28
5	0.55	0.83	1.15	1.61	2.67	4.35	6.63	9.24	11.07	12.83	15.09
6	0.87	1.24	1.64	2.2	3.45	5.35	7.84	10.64	12.59	14.45	16.81
7	1.24	1.69	2.17	2.83	4.25	6.35	9.04	12.02	14.07	16.01	18.48
8	1.65	2.18	2.73	3.49	5.07	7.34	10.22	13.36	15.51	17.53	20.09
9	2.09	2.7	3.33	4.17	5.9	8.34	11.39	14.68	16.92	19.02	21.67
10	2.56	3.25	3.94	4.87	6.74	9.34	12.55	15.99	18.31	20.48	23.21
11	3.05	3.82	4.57	5.58	7.58	10.34	13.7	17.28	19.68	21.92	24.72
12	3.57	4.4	5.23	6.3	8.44	11.34	14.85	18.55	21.03	23.34	26.22
13	4.11	5.01	5.89	7.04	9.3	12.34	15.98	19.81	22.36	24.74	27.69
14	4.66	5.63	6.57	7.79	10.17	13.34	17.12	21.06	23.68	26.12	29.14
15	5.23	6.26	7.26	8.55	11.04	14.34	18.25	22.31	25	27.49	30.58
16	5.81	6.91	7.96	9.31	11.91	15.34	19.37	23.54	26.3	28.85	32
17	6.41	7.56	8.67	10.09	12.79	16.34	20.49	24.77	27.59	30.19	33.41
18	7.01	8.23	9.39	10.86	13.68	17.34	21.6	25.99	28.87	31.53	34.81
19	7.63	8.91	10.12	11.65	14.56	18.34	22.72	27.2	30.14	32.85	36.19
20	8.26	9.59	10.85	12.44	15.45	19.34	23.83	28.41	31.41	34.17	37.57
21	8.9	10.28	11.59	13.24	16.34	20.34	24.93	29.62	32.67	35.48	38.93
22	9.54	10.98	12.34	14.04	17.24	21.34	26.04	30.81	33.92	36.78	40.29
23	10.2	11.69	13.09	14.85	18.14	22.34	27.14	32.01	35.17	38.08	41.64
24	10.86	12.4	13.85	15.66	19.04	23.34	28.24	33.2	36.42	39.36	42.98
25	11.52	13.12	14.61	16.47	19.94	24.34	29.34	34.38	37.65	40.65	44.31
26	12.2	13.84	15.38	17.29	20.84	25.34	30.43	35.56	38.89	41.92	45.64
27	12.88	14.57	16.15	18.11	21.75	26.34	31.53	36.74	40.11	43.19	46.96
28	13.56	15.31	16.93	18.94	22.66	27.34	32.62	37.92	41.34	44.46	48.28
29	14.26	16.05	17.71	19.77	23.57	28.34	33.71	39.09	42.56	45.72	49.59
30	14.95	16.79	18.49	20.6	24.48	29.34	34.8	40.26	43.77	46.98	50.89
35	18.51	20.57	22.47	24.8	29.05	34.34	40.22	46.06	49.8	53.2	57.34
40	22.16	24.43	26.51	29.05	33.66	39.34	45.62	51.81	55.76	59.34	63.69
45	25.9	28.37	30.61	33.35	38.29	44.34	50.98	57.51	61.66	65.41	69.96
50	29.71	32.36	34.76	37.69	42.94	49.33	56.33	63.17	67.5	71.42	76.15
60	37.48	40.48	43.19	46.46	52.29	59.33	66.98	74.4	79.08	83.3	88.38
70	45.44	48.76	51.74	55.33	61.7	69.33	77.58	85.53	90.53	95.02	100.4
80	53.54	57.15	60.39	64.28	71.14	79.33	88.13	96.58	101.9	106.6	112.3
90	61.75	65.65	69.13	73.29	80.62	89.33	98.65	107.6	113.2	118.1	124.1
100	70.06	74.22	77.93	82.36	90.13	99.33	109.1	118.5	124.3	129.6	135.8
150	112.7	118	122.7	128.3	138	149.3	161.3	172.6	179.6	185.8	193.2
200	156.4	162.7	168.3	174.8	186.2	199.3	213.1	226	234	241.1	249.4
300	246	253.9	260.9	269.1	283.1	299.3	316.1	331.8	341.4	349.9	359.9
500	429.4	439.9	449.1	459.9	478.3	499.3	521	540.9	553.1	563.9	576.5
1000	898.9	914.3	927.6	943.1	969.5	999.3	1030	1058	1075	1090	1107

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Citation

The E-Learning project SOGA-Py was developed at the Department of Earth Sciences by Annette Rudolph, Joachim Krois and Kai Hartmann. You can reach us via mail by soga[at]zedat.fu-berlin.de.

You may use this project freely under the Creative Commons Attribution-ShareAlike 4.0 International License.

Please cite as follow: Rudolph, A., Krois, J., Hartmann, K. (2023): Statistics and Geodata Analysis using Python (SOGA-Py). Department of Earth Sciences, Freie Universitaet Berlin.