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.
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
NormalDistributionTable：正态分布表 Normal Distribution Table
Cumulative Standard Normal Distribution Table Department of Mathematics, Sinclair Community College, Dayton, OH Z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 -0.00 0.5000 0.4960 0.4920 0.4880 0.4840 0.4801 0.4761 0.4721 0.4681 0.4641 -0.10 0.4602 0.4562 0.4522 0.4483 0.4443 0.4404 0.4364 0.4325 ...
standard normal distribution tabledoi:10.1002/9781119368540.app1Réveillac, Jean㎝ichelJohn Wiley & Sons, Inc.
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 ...
The normal distribution is a bell-shaped curve where data clusters symmetrically around the mean, useful in statistics and natural phenomena modeling.
Sign in to download full-size image Fig. 1.21. Density distribution of particle size in log scale. Table 1.4. Example of Particle Size Distribution Data Size Interval (μm)Number Measured (ΔN)Size Range (Δδ, μm)Mean of Size Interval (δa.m)100ΔNN (%)Cumulative Distribution (%) ...
Example: Using thezdistribution to find probability We’ve calculated that a SAT score of 1380 has azscore of 1.53. Using thefullztable, we find that for azscore of 1.53, thepvalue is 0.937. This is the probability of SAT scores being 1380 or less (93.7%), and it’s the area unde...
Table of Contents About Properties Explication Function Density Cumulative Approximation Documentation / ReferenceAbout A normal distribution is one of underlying assumptions of a lot of statistical procedures. In nature, every outcome that depends on the sum of many independent events will approximate ...