Statistical tables

Chi-Square Table (Critical Values χ²)

Table of critical values χ²(p,ν), cumulative distribution P(X ≤ x) and density f(x,ν) for any degrees of freedom. Click a cell to see the exact value.

How to read the table: each cell shows the quantile χ²(p,ν) such that P(X ≤ χ²) = p. For a goodness-of-fit test at the 5% level with ν = 10 degrees of freedom, look up the column p = 0.950 → χ² = 18.307.
Click a cell to see the critical value.

χ²(p, ν) — quantiles for p = P(X ≤ χ²)

ν (gl)p = 0.005p = 0.01p = 0.025p = 0.05p = 0.1p = 0.9p = 0.95p = 0.975p = 0.99p = 0.995
10.0000.0000.0010.0040.0162.7063.8415.0246.6357.879
20.0100.0200.0510.1030.2114.6055.9917.3789.21010.597
30.0720.1150.2160.3520.5846.2517.8159.34811.34512.838
40.2070.2970.4840.7111.0647.7799.48811.14313.27714.860
50.4120.5540.8311.1451.6109.23611.07012.83315.08616.750
60.6760.8721.2371.6352.20410.64512.59214.44916.81218.548
70.9891.2391.6902.1672.83312.01714.06716.01318.47520.278
81.3441.6462.1802.7333.49013.36215.50717.53520.09021.955
91.7352.0882.7003.3254.16814.68416.91919.02321.66623.589
102.1562.5583.2473.9404.86515.98718.30720.48323.20925.188
112.6033.0533.8164.5755.57817.27519.67521.92024.72526.757
123.0743.5714.4045.2266.30418.54921.02623.33726.21728.300
133.5654.1075.0095.8927.04219.81222.36224.73627.68829.819
144.0754.6605.6296.5717.79021.06423.68526.11929.14131.319
154.6015.2296.2627.2618.54722.30724.99627.48830.57832.801
165.1425.8126.9087.9629.31223.54226.29628.84532.00034.267
175.6976.4087.5648.67210.08524.76927.58730.19133.40935.718
186.2657.0158.2319.39010.86525.98928.86931.52634.80537.156
196.8447.6338.90710.11711.65127.20430.14432.85236.19138.582
207.4348.2609.59110.85112.44328.41231.41034.17037.56639.997
218.0348.89710.28311.59113.24029.61532.67135.47938.93241.401
228.6439.54210.98212.33814.04130.81333.92436.78140.28942.796
239.26010.19611.68913.09114.84832.00735.17238.07641.63844.181
249.88610.85612.40113.84815.65933.19636.41539.36442.98045.559
2510.52011.52413.12014.61116.47334.38237.65240.64644.31446.928
2611.16012.19813.84415.37917.29235.56338.88541.92345.64248.290
2711.80812.87914.57316.15118.11436.74140.11343.19546.96349.645
2812.46113.56515.30816.92818.93937.91641.33744.46148.27850.993
2913.12114.25616.04717.70819.76839.08742.55745.72249.58852.336
3013.78714.95316.79118.49320.59940.25643.77346.97950.89253.672
3517.19218.50920.56922.46524.79746.05949.80253.20357.34260.275
4020.70722.16424.43326.50929.05151.80555.75859.34263.69166.766
4524.31125.90128.36630.61233.35057.50561.65665.41069.95773.166
5027.99129.70732.35734.76437.68963.16767.50571.42076.15479.490
6035.53437.48540.48243.18846.45974.39779.08283.29888.37991.952
7043.27545.44248.75851.73955.32985.52790.53195.023100.425104.215
8051.17253.54057.15360.39164.27896.578101.879106.629112.329116.321
9059.19661.75465.64769.12673.291107.565113.145118.136124.116128.299
10067.32870.06574.22277.92982.358118.498124.342129.561135.807140.169
12083.85286.92391.57395.705100.624140.233146.567152.211158.950163.648
150109.142112.668117.985122.692128.275172.581179.581185.800193.208198.360
200152.241156.432162.728168.279174.835226.021233.994241.058249.445255.264
How to read the table: each cell shows P(X ≤ x) for the selected degrees of freedom. The row gives the integer part of x; the column adds the first decimal (×0.1).
Click a cell to see the value.

P(X ≤ x, ν) for x from 0.0 to 30.9

x.0.1.2.3.4.5.6.7.8.9
0.00.00000.00020.00090.00240.00470.00790.01200.01700.02300.0298
1.00.03740.04590.05510.06510.07570.08690.09880.11110.12390.1372
2.00.15090.16490.17920.19370.20850.22350.23860.25390.26920.2846
3.00.30000.31540.33080.34620.36140.37660.39170.40660.42140.4361
4.00.45060.46490.47900.49290.50660.52010.53340.54640.55920.5718
5.00.58410.59620.60800.61960.63100.64210.65290.66350.67380.6839
6.00.69380.70340.71280.72190.73080.73940.74790.75610.76410.7718
7.00.77940.78670.79380.80070.80740.81400.82030.82640.83240.8382
8.00.84380.84920.85440.85950.86450.86930.87390.87840.88270.8869
9.00.89090.89490.89870.90230.90590.90930.91260.91580.91890.9219
10.00.92480.92750.93020.93280.93530.93780.94010.94230.94450.9466
11.00.94860.95060.95240.95430.95600.95770.95930.96090.96240.9638
12.00.96520.96660.96790.96910.97030.97150.97260.97360.97470.9757
13.00.97660.97750.97840.97930.98010.98090.98160.98240.98310.9837
14.00.98440.98500.98560.98620.98670.98730.98780.98830.98870.9892
15.00.98960.99010.99050.99080.99120.99160.99190.99220.99260.9929
16.00.99320.99340.99370.99400.99420.99440.99470.99490.99510.9953
17.00.99550.99570.99590.99600.99620.99640.99650.99670.99680.9969
18.00.99710.99720.99730.99740.99750.99760.99770.99780.99790.9980
19.00.99810.99820.99820.99830.99840.99840.99850.99860.99860.9987
20.00.99880.99880.99890.99890.99890.99900.99900.99910.99910.9992
21.00.99920.99920.99930.99930.99930.99930.99940.99940.99940.9995
22.00.99950.99950.99950.99950.99960.99960.99960.99960.99960.9996
23.00.99970.99970.99970.99970.99970.99970.99970.99980.99980.9998
24.00.99980.99980.99980.99980.99980.99980.99980.99980.99980.9999
25.00.99990.99990.99990.99990.99990.99990.99990.99990.99990.9999
26.00.99990.99990.99990.99990.99990.99990.99990.99990.99990.9999
27.00.99990.99990.99991.00001.00001.00001.00001.00001.00001.0000
28.01.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000
29.01.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000
30.01.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000
How to read the table: each cell shows the density f(x, ν). The χ² distribution is defined for x ≥ 0. As ν increases, the curve becomes more symmetric and shifts to the right.
Click a cell to see the value.

f(x, ν) for x from 0.0 to 30.9

x.0.1.2.3.4.5.6.7.8.9
0.00.00000.00400.01080.01880.02750.03660.04580.05490.06380.0724
1.00.08070.08850.09590.10290.10940.11540.12090.12600.13060.1347
2.00.13840.14160.14440.14690.14890.15060.15190.15290.15360.1540
3.00.15420.15410.15370.15310.15230.15130.15010.14880.14730.1457
4.00.14400.14210.14020.13810.13600.13380.13150.12920.12690.1245
5.00.12200.11960.11710.11460.11210.10970.10720.10470.10220.0997
6.00.09730.09490.09250.09010.08780.08540.08320.08090.07870.0765
7.00.07440.07230.07020.06820.06620.06420.06230.06050.05860.0569
8.00.05510.05340.05170.05010.04850.04700.04550.04400.04260.0412
9.00.03990.03860.03730.03610.03490.03370.03260.03140.03040.0293
10.00.02830.02740.02640.02550.02460.02370.02290.02210.02130.0206
11.00.01980.01910.01840.01780.01710.01650.01590.01530.01480.0142
12.00.01370.01320.01270.01220.01180.01130.01090.01050.01010.0097
13.00.00940.00900.00870.00830.00800.00770.00740.00710.00690.0066
14.00.00640.00610.00590.00560.00540.00520.00500.00480.00460.0044
15.00.00430.00410.00390.00380.00360.00350.00340.00320.00310.0030
16.00.00290.00270.00260.00250.00240.00230.00220.00210.00210.0020
17.00.00190.00180.00170.00170.00160.00150.00150.00140.00140.0013
18.00.00130.00120.00120.00110.00110.00100.00100.00090.00090.0009
19.00.00080.00080.00080.00070.00070.00070.00060.00060.00060.0006
20.00.00050.00050.00050.00050.00050.00040.00040.00040.00040.0004
21.00.00040.00030.00030.00030.00030.00030.00030.00030.00020.0002
22.00.00020.00020.00020.00020.00020.00020.00020.00020.00020.0002
23.00.00010.00010.00010.00010.00010.00010.00010.00010.00010.0001
24.00.00010.00010.00010.00010.00010.00010.00010.00010.00010.0001
25.00.00010.00010.00010.00010.00010.00000.00000.00000.00000.0000
26.00.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
27.00.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
28.00.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
29.00.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
30.00.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000

How to use these tables

Chi-Square Distribution

If Z₁, Z₂, …, Zᵥ are independent standard normal variables, then X = Z₁² + … + Zᵥ² follows a chi-square distribution with ν degrees of freedom. Its density function is:

\( f(x,\nu) = \dfrac{x^{\nu/2-1}\,e^{-x/2}}{2^{\nu/2}\,\Gamma(\nu/2)}, \quad x \geq 0 \)

The mean is ν and the variance is 2ν.

Critical values table

Shows the quantiles χ²(p, ν) such that P(X ≤ χ²) = p. For a test at significance level α (right tail) with ν degrees of freedom, use the column p = 1 − α.

  • Example: test at 5%, ν = 5 → p = 0.95 → χ² = 11.070.
  • Columns with p < 0.5 correspond to the left tail (small values of χ²).

Main uses

  • Goodness-of-fit test
  • Test of independence in contingency tables
  • Variance estimation and confidence intervals for σ²
  • Homogeneity tests

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