NormalDistributionTable：正态分布表 Normal Distribution Table
0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.5596 0.5636 0.5675 0.5714 0.5753 0.2 0.5793 0.5832 0.5871 0.5910 0.5948 0.5987 0.6026 0.6064 0.6103 0.6141 0.3 0.6179 0.6217 0.6255 0.6293 0.6331 0.6368 0.6406 ...
The TableYou can also use the table below. The table shows the area from 0 to Z.Instead of one LONG table, we have put the "0.1"s running down, then the "0.01"s running along. (Example of how to use is below)Z0.000.010.020.030.040.050.060.070.080.09 0.0 0.0000 0.0040 0.0080 ...
Normal Distribution Table T-2 Tables •Array Table entry for z is the area under the standard normal curve to the left of z.Standard normal probabilities z.00.01.02.03.04.05.06.07.08.09−3.4.0003.0003.0003.0003.0003.0003.0003.0003.0003.0002−3.3.0005.0005.0005.0004.0004....
The graph of the normal distribution is characterized by two parameters: themean, or average, which is themaximumof the graph and about which the graph is always symmetric; and thestandard deviation, which determines the amount of dispersion away from the mean. A small standard deviation (compar...
standard normal distribution tabledoi:10.1002/9781119368540.app1Réveillac, Jean㎝ichelJohn Wiley & Sons, Inc.
正态分布tablenormaldistributioncostenoble置信 Normal Distribution Table P(0 z a) a 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.0000 0.0040 0.0080 0.0120 0.0160 0.0199 0.0239 0.0279 0.0319 0.0359 0.1 0.0398 0.0438 0.0478 0.0517 0.0557 0.0596 0.0636 0.0675 0.0714 0.0753 0.2 0.0793 0.0832...
Using the Table to Calculate Normal Distribution In order to properly use the above table, it's important to understand how it functions. Take for example a z-score of 1.67. One would split this number into 1.6 and .07, which provides a number to the nearest tenth (1.6) and one to th...
The standard normal distribution is one of the forms of the normal distribution. It occurs when a random variable has a mean equal to zero.
You can either use the normal distribution table or try integrating the normal cumulative distribution function (normal CDF): Φ(x)=12π∫e−t2/2dtΦ(x)=2π1∫e−t2/2dt For example, suppose you want to find the probability of a variable being lower than xx. In that case, you ...