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Math Lantern

Z Value Table

A z value table lists the area under the standard normal curve to the left of a z-score, so you can turn a z-score into a probability. Type a z-score below to get the exact area with the working shown, or type an area to find the z-score, and read the full table underneath.

Type a z-score to get the area, or type an area between 0 and 1 to get the z-score. Fractions (1/4) and percentages (25%) work for the area.

P(Z < z)–
QuestionProbability

Working

    Standard normal table

    Positive z scores: area to the left of z
    z0.000.010.020.030.040.050.060.070.080.09
    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
    Negative z scores: area to the left of z
    z0.000.010.020.030.040.050.060.070.080.09
    0.00.50000.49600.49200.48800.48400.48010.47610.47210.46810.4641
    -0.10.46020.45620.45220.44830.44430.44040.43640.43250.42860.4247
    -0.20.42070.41680.41290.40900.40520.40130.39740.39360.38970.3859
    -0.30.38210.37830.37450.37070.36690.36320.35940.35570.35200.3483
    -0.40.34460.34090.33720.33360.33000.32640.32280.31920.31560.3121
    -0.50.30850.30500.30150.29810.29460.29120.28770.28430.28100.2776
    -0.60.27430.27090.26760.26430.26110.25780.25460.25140.24830.2451
    -0.70.24200.23890.23580.23270.22960.22660.22360.22060.21770.2148
    -0.80.21190.20900.20610.20330.20050.19770.19490.19220.18940.1867
    -0.90.18410.18140.17880.17620.17360.17110.16850.16600.16350.1611
    -1.00.15870.15620.15390.15150.14920.14690.14460.14230.14010.1379
    -1.10.13570.13350.13140.12920.12710.12510.12300.12100.11900.1170
    -1.20.11510.11310.11120.10930.10750.10560.10380.10200.10030.0985
    -1.30.09680.09510.09340.09180.09010.08850.08690.08530.08380.0823
    -1.40.08080.07930.07780.07640.07490.07350.07210.07080.06940.0681
    -1.50.06680.06550.06430.06300.06180.06060.05940.05820.05710.0559
    -1.60.05480.05370.05260.05160.05050.04950.04850.04750.04650.0455
    -1.70.04460.04360.04270.04180.04090.04010.03920.03840.03750.0367
    -1.80.03590.03510.03440.03360.03290.03220.03140.03070.03010.0294
    -1.90.02870.02810.02740.02680.02620.02560.02500.02440.02390.0233
    -2.00.02280.02220.02170.02120.02070.02020.01970.01920.01880.0183
    -2.10.01790.01740.01700.01660.01620.01580.01540.01500.01460.0143
    -2.20.01390.01360.01320.01290.01250.01220.01190.01160.01130.0110
    -2.30.01070.01040.01020.00990.00960.00940.00910.00890.00870.0084
    -2.40.00820.00800.00780.00750.00730.00710.00690.00680.00660.0064
    -2.50.00620.00600.00590.00570.00550.00540.00520.00510.00490.0048
    -2.60.00470.00450.00440.00430.00410.00400.00390.00380.00370.0036
    -2.70.00350.00340.00330.00320.00310.00300.00290.00280.00270.0026
    -2.80.00260.00250.00240.00230.00230.00220.00210.00210.00200.0019
    -2.90.00190.00180.00180.00170.00160.00160.00150.00150.00140.0014
    -3.00.00130.00130.00130.00120.00120.00110.00110.00110.00100.0010
    -3.10.00100.00090.00090.00090.00080.00080.00080.00080.00070.0007
    -3.20.00070.00070.00060.00060.00060.00060.00060.00050.00050.0005
    -3.30.00050.00050.00050.00040.00040.00040.00040.00040.00040.0003
    -3.40.00030.00030.00030.00030.00030.00030.00030.00030.00030.0002

    Math Lantern Team · Updated

    Z value table: z = 1.96 gives an area of 0.9750 to the left

    How to read the z value table

    Every row of the table starts with a z-score to one decimal place, and every column adds the second decimal. To find the area to the left of z = 1.96, go down to the row 1.9 and across to the column 0.06. The cell shows 0.9750, so about 97.50 % of values in a standard normal distribution lie below 1.96.

    Worked example: z = 1.96

    The area to the left of 1.96 is 0.975002. The area to the right is 1 − 0.975002 = 0.024998. Because the normal curve is symmetric, the area to the left of −1.96 is also 0.024998, so the two tails together hold 0.049996 of the area, which is why 1.96 is used for a two-sided 95 % interval.

    Reading the z table: row 1.9 and column 0.06 give 0.9750

    Negative z-scores

    For a negative z-score, use the negative table or use symmetry: the area to the left of −z equals the area to the right of z. For z = −1.28 the table gives 0.1003, meaning about 10.03 % of values fall below −1.28.

    Common z values for confidence levels

    Confidence level Two-sided z One-sided z
    90 % 1.6449 1.2816
    95 % 1.9600 1.6449
    99 % 2.5758 2.3263

    Where the numbers come from

    The table and the calculator use the standard normal distribution, with mean 0 and standard deviation 1. Each value is P(Z < z) = ½ × (1 + erf(z / √2)), where erf is the error function described in Abramowitz and Stegun, Handbook of Mathematical Functions (1964), chapters 7 and 26. On 20 October 2026 the calculator was compared with Python’s statistics module on 2,000 random z-scores against Python’s math.erf and on 300 random z-scores against its NormalDist class; the largest difference was 5.2 × 10−15. The inverse (area to z) was compared on 200 random areas and differed by less than 1 × 10−13.

    Common z values for 90, 95 and 99 percent confidence

    If your data counts successes in a fixed number of trials rather than measuring a continuous value, the binomial distribution calculator gives the exact probabilities without a table.

    Frequently asked questions

    What is a z value table?

    It is a table of the standard normal distribution that gives the area to the left of each z-score. The area is a probability, so a cell of 0.9750 means a 97.50 % chance of a value below that z.

    How do I find a z-score from a probability?

    Find the probability inside the table and read the row and column that lead to it, or type the probability into the box above and the calculator returns the z-score directly.

    What is the z-score for 95 %?

    For a two-sided 95 % interval, z = 1.96, which leaves 2.5 % in each tail. For a one-sided 95 % bound, z = 1.645.

    Is a z table the same as a t table?

    No. A z table assumes the standard normal distribution. A t table uses a distribution with heavier tails that depends on the sample size, and it is used when the population standard deviation is unknown.

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