Calculators
Home › Tables › Z Table

Z Table (Standard Normal Table)

The standard normal table: the proportion of the distribution below any z-score.

Quick answer: Find your z-score's row (first decimal) and column (second decimal). The cell is the area to its left. Multiply by 100 for the percentile. For negative z, use 1 minus the positive value.

How to read this z-table

The table gives the area under the standard normal curve to the left of a z-score. In other words, the proportion (and percentile) of values below it. Find the first decimal of your z-score down the left column, then move across to the column matching the second decimal. A z-score of 1.25: row 1.2, column .05. The table reads 0.8944, so 89.44% of the distribution lies below z = 1.25.

For negative z-scores, use symmetry: the area below −1.25 equals the area above +1.25, which is 1 − 0.8944 = 0.1056. The curve is a mirror image of itself, so one table serves both halves.

z.00.01.02.03.04.05.06.07.08.09
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

Worked examples

Example 1: area below

P(Z < 1.96): row 1.9, column .06 reads 0.9750. This is the famous 97.5% behind the 1.96 of 95% confidence intervals.

Example 2: area between two values

P(−1 < Z < 1) = Φ(1) − Φ(−1) = 0.8413 − 0.1587 = 0.6827. That is the 68% of the empirical rule, read straight off the table.

Example 3: area above

P(Z > 2.33) = 1 − 0.9901 = 0.0099. Just under 1% of values lie more than 2.33 standard deviations above the mean.

Z-table vs the calculators

The table rounds to two decimal places for z and four for area, plenty for exams and coursework, which is why teachers still insist you learn it. When you need more precision, or a percentile for a z like 1.273, the z-score to percentile calculator interpolates exactly instead of rounding to the nearest cell.

Frequently asked questions

What does a z-table tell you?

The proportion of a standard normal distribution that lies below a given z-score (the area to its left). Multiply by 100 to read it as a percentile.

How do I use the z-table for a negative z-score?

Use symmetry: area below −z equals 1 minus the area below +z. For −1.25: 1 − 0.8944 = 0.1056.

Why does the table stop at 3.4?

Beyond z = 3.4 the area below is above 0.9997. For almost every purpose the value is effectively the whole distribution. The remaining tail is under 0.03%.