Statistical Tables · free & public domain

Z-Score Table (Standard Normal Distribution)

Cumulative area under the standard normal curve to the left of z, from −3.99 to 3.99.

How to use this table

Find the units and first decimal of your z-score down the left edge, then the second decimal across the top. The cell is the area to the left of that z. Example: for z = 1.96, read row 1.9 and column .06 → 0.9750. So 97.50% of the distribution lies below 1.96, and 2.50% above it — which is where the familiar 95% confidence interval comes from.

The table

Z-Score Table (Standard Normal Distribution)
z / second decimal.00.01.02.03.04.05.06.07.08.09
−3.90.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
−3.80.00010.00010.00010.00010.00010.00010.00010.00010.00010.0001
−3.70.00010.00010.00010.00010.00010.00010.00010.00010.00010.0001
−3.60.00020.00020.00010.00010.00010.00010.00010.00010.00010.0001
−3.50.00020.00020.00020.00020.00020.00020.00020.00020.00020.0002
−3.40.00030.00030.00030.00030.00030.00030.00030.00030.00030.0002
−3.30.00050.00050.00050.00040.00040.00040.00040.00040.00040.0003
−3.20.00070.00070.00060.00060.00060.00060.00060.00050.00050.0005
−3.10.00100.00090.00090.00090.00080.00080.00080.00080.00070.0007
−3.00.00130.00130.00130.00120.00120.00110.00110.00110.00100.0010
−2.90.00190.00180.00180.00170.00160.00160.00150.00150.00140.0014
−2.80.00260.00250.00240.00230.00230.00220.00210.00210.00200.0019
−2.70.00350.00340.00330.00320.00310.00300.00290.00280.00270.0026
−2.60.00470.00450.00440.00430.00410.00400.00390.00380.00370.0036
−2.50.00620.00600.00590.00570.00550.00540.00520.00510.00490.0048
−2.40.00820.00800.00780.00750.00730.00710.00690.00680.00660.0064
−2.30.01070.01040.01020.00990.00960.00940.00910.00890.00870.0084
−2.20.01390.01360.01320.01290.01250.01220.01190.01160.01130.0110
−2.10.01790.01740.01700.01660.01620.01580.01540.01500.01460.0143
−2.00.02280.02220.02170.02120.02070.02020.01970.01920.01880.0183
−1.90.02870.02810.02740.02680.02620.02560.02500.02440.02390.0233
−1.80.03590.03510.03440.03360.03290.03220.03140.03070.03010.0294
−1.70.04460.04360.04270.04180.04090.04010.03920.03840.03750.0367
−1.60.05480.05370.05260.05160.05050.04950.04850.04750.04650.0455
−1.50.06680.06550.06430.06300.06180.06060.05940.05820.05710.0559
−1.40.08080.07930.07780.07640.07490.07350.07210.07080.06940.0681
−1.30.09680.09510.09340.09180.09010.08850.08690.08530.08380.0823
−1.20.11510.11310.11120.10930.10750.10560.10380.10200.10030.0985
−1.10.13570.13350.13140.12920.12710.12510.12300.12100.11900.1170
−1.00.15870.15620.15390.15150.14920.14690.14460.14230.14010.1379
−0.90.18410.18140.17880.17620.17360.17110.16850.16600.16350.1611
−0.80.21190.20900.20610.20330.20050.19770.19490.19220.18940.1867
−0.70.24200.23890.23580.23270.22960.22660.22360.22060.21770.2148
−0.60.27430.27090.26760.26430.26110.25780.25460.25140.24830.2451
−0.50.30850.30500.30150.29810.29460.29120.28770.28430.28100.2776
−0.40.34460.34090.33720.33360.33000.32640.32280.31920.31560.3121
−0.30.38210.37830.37450.37070.36690.36320.35940.35570.35200.3483
−0.20.42070.41680.41290.40900.40520.40130.39740.39360.38970.3859
−0.10.46020.45620.45220.44830.44430.44040.43640.43250.42860.4247
−0.00.50000.49600.49200.48800.48400.48010.47610.47210.46810.4641
0.00.50000.50400.50800.51200.51600.51990.52390.52790.53190.5359
0.10.53980.54380.54780.55170.55570.55960.56360.56750.57140.5753
0.20.57930.58320.58710.59100.59480.59870.60260.60640.61030.6141
0.30.61790.62170.62550.62930.63310.63680.64060.64430.64800.6517
0.40.65540.65910.66280.66640.67000.67360.67720.68080.68440.6879
0.50.69150.69500.69850.70190.70540.70880.71230.71570.71900.7224
0.60.72570.72910.73240.73570.73890.74220.74540.74860.75170.7549
0.70.75800.76110.76420.76730.77040.77340.77640.77940.78230.7852
0.80.78810.79100.79390.79670.79950.80230.80510.80780.81060.8133
0.90.81590.81860.82120.82380.82640.82890.83150.83400.83650.8389
1.00.84130.84380.84610.84850.85080.85310.85540.85770.85990.8621
1.10.86430.86650.86860.87080.87290.87490.87700.87900.88100.8830
1.20.88490.88690.88880.89070.89250.89440.89620.89800.89970.9015
1.30.90320.90490.90660.90820.90990.91150.91310.91470.91620.9177
1.40.91920.92070.92220.92360.92510.92650.92790.92920.93060.9319
1.50.93320.93450.93570.93700.93820.93940.94060.94180.94290.9441
1.60.94520.94630.94740.94840.94950.95050.95150.95250.95350.9545
1.70.95540.95640.95730.95820.95910.95990.96080.96160.96250.9633
1.80.96410.96490.96560.96640.96710.96780.96860.96930.96990.9706
1.90.97130.97190.97260.97320.97380.97440.97500.97560.97610.9767
2.00.97720.97780.97830.97880.97930.97980.98030.98080.98120.9817
2.10.98210.98260.98300.98340.98380.98420.98460.98500.98540.9857
2.20.98610.98640.98680.98710.98750.98780.98810.98840.98870.9890
2.30.98930.98960.98980.99010.99040.99060.99090.99110.99130.9916
2.40.99180.99200.99220.99250.99270.99290.99310.99320.99340.9936
2.50.99380.99400.99410.99430.99450.99460.99480.99490.99510.9952
2.60.99530.99550.99560.99570.99590.99600.99610.99620.99630.9964
2.70.99650.99660.99670.99680.99690.99700.99710.99720.99730.9974
2.80.99740.99750.99760.99770.99770.99780.99790.99790.99800.9981
2.90.99810.99820.99820.99830.99840.99840.99850.99850.99860.9986
3.00.99870.99870.99870.99880.99880.99890.99890.99890.99900.9990
3.10.99900.99910.99910.99910.99920.99920.99920.99920.99930.9993
3.20.99930.99930.99940.99940.99940.99940.99940.99950.99950.9995
3.30.99950.99950.99950.99960.99960.99960.99960.99960.99960.9997
3.40.99970.99970.99970.99970.99970.99970.99970.99970.99970.9998
3.50.99980.99980.99980.99980.99980.99980.99980.99980.99980.9998
3.60.99980.99980.99990.99990.99990.99990.99990.99990.99990.9999
3.70.99990.99990.99990.99990.99990.99990.99990.99990.99990.9999
3.80.99990.99990.99990.99990.99990.99990.99990.99990.99990.9999
3.91.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000

Rows run to ±3.9 rather than the usual ±3.4. Below −3.99 use 0.0000; above 3.99 use 1.0000.

How these values were produced

Computed as Φ(z), the standard normal cumulative distribution function (SciPy 1.17).

Every one of these 800 values was computed from the underlying distribution — none was transcribed from a printed table. Values of this kind are mathematical facts: they come out the same for anyone who computes them correctly.

Need the test run rather than the critical value looked up? The Proof Workbench computes t, r, χ² and ANOVA in your browser with assumption checks and a re-verifiable receipt.

Use it freely

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