Standard normal cumulative distribution function This table gives values of the standard normal cumulative distribution function, F(z), for certain values of z. That is, the table gives the area under the standard normal probability density function from negative infinity to z. Note that the identity F(-z) = 1 - F(z) can be used for negative values of z. If you would like help in using this table, some instructions have been provided (show instructions). Finding probabilities The cells of the standard normal table represent, for various values z, the probability that the standard normal distribution will take a value less than or equal to z. For example, to find the probability that the standard normal distribution will take a value less than or equal to 0.64, you refer to the row corresponding to 0.60 and the column corresponding to 0.04. z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.50.69150.69500.69850.70190.70540.70880.71230.71570.71900.7224 0.60.72570.72910.73240.7357 0.73890.74220.74540.74860.75170.7549 0.70.75800.7611 0.76420.76730.77040.77340.77640.77940.78230.7852 The cell in this row and column is 0.7389. This means that the probability that the standard normal distribution takes a value less than or equal to 0.64 is 0.7389. Finding z-scores The table can also be used when you are given a probability p and you are asked to find the value z such that p is the probability that the standard normal distribution will take a value less than or equal to z. For example, suppose you want to find the value under which 95.25% of the standard normal distribution lies. In this case you would look for the cell in the table that is equal to (or closest to) 0.9525. z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 1.50.93320.93450.93570.93700.93820.93940.94060.94180.94290.9441 1.60.94520.94630.94740.94840.94950.95050.9515 0.95250.95350.9545 1.70.95540.95640.95730.95820.95910.95990.96080.96160.96250.9633 This cell occurs in the row corresponding to 1.60 and the column corresponding to 0.07. This means that the probability that the standard normal distribution takes a value less than or equal to 1.67 is 0.9525. In other words, 95.25% of the standard normal distribution lies below 1.67. Interpolation You can use the method of linear interpolation to find more accurate probabilities for z-scores of more than 2 decimal places. For example: F(0.5432)=F(0.54) + 0.32[F(0.55) - F(0.54)] =0.7054 + 0.32 (0.7088 - 0.7054) 0.7065 F(z) - Standard normal cumulative distribution function z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 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 0.70.75800.7611 0.76420.76730.77040.77340.77640.77940.78230.7852 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 1.30.90320.90490.90660.90820.90990.9115 0.91310.91470.91620.9177 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 2.30.98930.98960.98980.99010.99040.99060.99090.9911 0.99130.9916 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