Correlation

Fisher's z-Transformation Table: Converting r to z

Fisher's transformation makes the sampling distribution of r approximately normal, so you can build confidence intervals and compare correlations.

  • r = 0.000 to 0.999
  • 4 decimal places
  • CI calculator

Fisher z-Transformation

Rows: first two decimals of r · Columns: third decimal of r · Cells: z = arctanh(r). For negative r, change the sign of z.

Fisher z-Transformation Table (r to z)
Third decimal of r →
r ↓
.000.001.002.003.004.005.006.007.008.009
0.000.00000.00100.00200.00300.00400.00500.00600.00700.00800.0090
0.010.01000.01100.01200.01300.01400.01500.01600.01700.01800.0190
0.020.02000.02100.02200.02300.02400.02500.02600.02700.02800.0290
0.030.03000.03100.03200.03300.03400.03500.03600.03700.03800.0390
0.040.04000.04100.04200.04300.04400.04500.04600.04700.04800.0490
0.050.05000.05100.05200.05300.05410.05510.05610.05710.05810.0591
0.060.06010.06110.06210.06310.06410.06510.06610.06710.06810.0691
0.070.07010.07110.07210.07310.07410.07510.07610.07720.07820.0792
0.080.08020.08120.08220.08320.08420.08520.08620.08720.08820.0892
0.090.09020.09130.09230.09330.09430.09530.09630.09730.09830.0993
0.100.10030.10130.10240.10340.10440.10540.10640.10740.10840.1094
0.110.11040.11150.11250.11350.11450.11550.11650.11750.11860.1196
0.120.12060.12160.12260.12360.12460.12570.12670.12770.12870.1297
0.130.13070.13180.13280.13380.13480.13580.13680.13790.13890.1399
0.140.14090.14190.14300.14400.14500.14600.14710.14810.14910.1501
0.150.15110.15220.15320.15420.15520.15630.15730.15830.15930.1604
0.160.16140.16240.16340.16450.16550.16650.16760.16860.16960.1706
0.170.17170.17270.17370.17480.17580.17680.17790.17890.17990.1809
0.180.18200.18300.18410.18510.18610.18720.18820.18920.19030.1913
0.190.19230.19340.19440.19550.19650.19750.19860.19960.20070.2017
0.200.20270.20380.20480.20590.20690.20790.20900.21000.21110.2121
0.210.21320.21420.21530.21630.21740.21840.21950.22050.22160.2226
0.220.22370.22470.22580.22680.22790.22890.23000.23100.23210.2331
0.230.23420.23520.23630.23740.23840.23950.24050.24160.24270.2437
0.240.24480.24580.24690.24800.24900.25010.25120.25220.25330.2543
0.250.25540.25650.25750.25860.25970.26080.26180.26290.26400.2650
0.260.26610.26720.26830.26930.27040.27150.27260.27360.27470.2758
0.270.27690.27790.27900.28010.28120.28230.28330.28440.28550.2866
0.280.28770.28880.28990.29090.29200.29310.29420.29530.29640.2975
0.290.29860.29970.30080.30180.30290.30400.30510.30620.30730.3084
0.300.30950.31060.31170.31280.31390.31500.31610.31720.31830.3194
0.310.32050.32170.32280.32390.32500.32610.32720.32830.32940.3305
0.320.33160.33280.33390.33500.33610.33720.33830.33950.34060.3417
0.330.34280.34400.34510.34620.34730.34840.34960.35070.35180.3530
0.340.35410.35520.35640.35750.35860.35980.36090.36200.36320.3643
0.350.36540.36660.36770.36890.37000.37120.37230.37340.37460.3757
0.360.37690.37800.37920.38030.38150.38260.38380.38500.38610.3873
0.370.38840.38960.39070.39190.39310.39420.39540.39660.39770.3989
0.380.40010.40120.40240.40360.40470.40590.40710.40830.40940.4106
0.390.41180.41300.41420.41530.41650.41770.41890.42010.42130.4225
0.400.42360.42480.42600.42720.42840.42960.43080.43200.43320.4344
0.410.43560.43680.43800.43920.44040.44160.44280.44410.44530.4465
0.420.44770.44890.45010.45130.45260.45380.45500.45620.45740.4587
0.430.45990.46110.46240.46360.46480.46600.46730.46850.46980.4710
0.440.47220.47350.47470.47600.47720.47840.47970.48090.48220.4834
0.450.48470.48600.48720.48850.48970.49100.49220.49350.49480.4960
0.460.49730.49860.49990.50110.50240.50370.50490.50620.50750.5088
0.470.51010.51140.51260.51390.51520.51650.51780.51910.52040.5217
0.480.52300.52430.52560.52690.52820.52950.53080.53210.53340.5347
0.490.53610.53740.53870.54000.54130.54270.54400.54530.54660.5480
0.500.54930.55060.55200.55330.55470.55600.55730.55870.56000.5614
0.510.56270.56410.56540.56680.56820.56950.57090.57220.57360.5750
0.520.57630.57770.57910.58050.58180.58320.58460.58600.58740.5888
0.530.59010.59150.59290.59430.59570.59710.59850.59990.60130.6027
0.540.60420.60560.60700.60840.60980.61120.61270.61410.61550.6169
0.550.61840.61980.62130.62270.62410.62560.62700.62850.62990.6314
0.560.63280.63430.63580.63720.63870.64010.64160.64310.64460.6460
0.570.64750.64900.65050.65200.65350.65500.65650.65800.65950.6610
0.580.66250.66400.66550.66700.66850.67000.67160.67310.67460.6761
0.590.67770.67920.68070.68230.68380.68540.68690.68850.69000.6916
0.600.69310.69470.69630.69780.69940.70100.70260.70420.70570.7073
0.610.70890.71050.71210.71370.71530.71690.71850.72010.72180.7234
0.620.72500.72660.72830.72990.73150.73320.73480.73650.73810.7398
0.630.74140.74310.74470.74640.74810.74980.75140.75310.75480.7565
0.640.75820.75990.76160.76330.76500.76670.76840.77010.77180.7736
0.650.77530.77700.77880.78050.78230.78400.78580.78750.78930.7910
0.660.79280.79460.79640.79810.79990.80170.80350.80530.80710.8089
0.670.81070.81260.81440.81620.81800.81990.82170.82360.82540.8273
0.680.82910.83100.83280.83470.83660.83850.84040.84230.84410.8460
0.690.84800.84990.85180.85370.85560.85760.85950.86140.86340.8653
0.700.86730.86930.87120.87320.87520.87720.87920.88120.88320.8852
0.710.88720.88920.89120.89330.89530.89730.89940.90140.90350.9056
0.720.90760.90970.91180.91390.91600.91810.92020.92230.92450.9266
0.730.92870.93090.93300.93520.93730.93950.94170.94390.94610.9483
0.740.95050.95270.95490.95710.95940.96160.96390.96610.96840.9707
0.750.97300.97520.97750.97980.98220.98450.98680.98920.99150.9939
0.760.99620.99861.00101.00341.00581.00821.01061.01301.01541.0179
0.771.02031.02281.02531.02771.03021.03271.03521.03781.04031.0428
0.781.04541.04791.05051.05311.05571.05831.06091.06351.06611.0688
0.791.07141.07411.07681.07951.08221.08491.08761.09031.09311.0958
0.801.09861.10141.10421.10701.10981.11271.11551.11841.12121.1241
0.811.12701.12991.13291.13581.13881.14171.14471.14771.15071.1538
0.821.15681.15991.16301.16601.16921.17231.17541.17861.18171.1849
0.831.18811.19141.19461.19791.20111.20441.20771.21111.21441.2178
0.841.22121.22461.22801.23151.23491.23841.24191.24541.24901.2526
0.851.25621.25981.26341.26711.27071.27451.27821.28191.28571.2895
0.861.29331.29721.30111.30501.30891.31291.31691.32091.32491.3290
0.871.33311.33721.34141.34561.34981.35401.35831.36261.36701.3714
0.881.37581.38021.38471.38921.39381.39841.40301.40771.41241.4171
0.891.42191.42681.43161.43651.44151.44651.45161.45661.46181.4670
0.901.47221.47751.48281.48821.49371.49921.50471.51031.51601.5217
0.911.52751.53341.53931.54531.55131.55741.56361.56981.57621.5826
0.921.58901.59561.60221.60891.61571.62261.62961.63661.64381.6510
0.931.65841.66581.67341.68111.68881.69671.70471.71291.72111.7295
0.941.73801.74671.75551.76451.77361.78281.79231.80191.81171.8216
0.951.83181.84211.85271.86351.87451.88571.89721.90901.92101.9333
0.961.94591.95881.97211.98571.99962.01392.02872.04392.05952.0756
0.972.09232.10952.12732.14572.16492.18472.20542.22692.24942.2729
0.982.29762.32352.35072.37962.41012.44272.47742.51472.55502.5987
0.992.64672.69962.75872.82572.90312.99453.10633.25043.45343.8002

Tip: click any value to highlight its row and column.

How to read this table

  1. Find the row for the first two decimals of r and the column for the third decimal. For r = 0.625 use row 0.62, column .005.
  2. The cell is Fisher's z. For a negative r, use the same value with a minus sign.
  3. To convert back, search the body of the table for z, or use r = tanh(z).

Worked example

A correlation of r = 0.62 from n = 30 patients: row 0.62, column .000 gives z = 0.7250. Its standard error is 1/√(n − 3) = 1/√27 = 0.1925, so a 95% interval for z is 0.7250 ± 1.96 × 0.1925 = 0.3478 to 1.1022. Transforming back with r = tanh(z) gives a 95% confidence interval for the correlation of 0.334 to 0.801.

Click the underlined links to highlight the value in the table.

Calculator

For values between the rows and columns of the table. Results update as you type.

Formula and how the values were computed

z = ½ ln((1 + r) / (1 − r))  ·  SE(z) ≈ 1 / √(n − 3)  ·  r = tanh(z)

Each cell is z = arctanh(r) = ½ ln((1 + r)/(1 − r)), computed exactly and rounded to four decimals.

Frequently asked questions

Why transform r at all?

The sampling distribution of r is skewed, especially when the true correlation is far from zero, so r ± 1.96 SE gives poor intervals. Fisher's z is close to normal with a standard error that depends only on n.

How do I compare two independent correlations?

Transform both, then compute (z₁ − z₂) / √(1/(n₁ − 3) + 1/(n₂ − 3)) and compare it with the standard normal distribution.

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