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Cumulative Probabilities for the Standard Normal (Z)Distribution z. 0.00. 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. 0.07. 0.08. 0.09. 0.0. 0.5000. 0.5040. 0.5080. 0.5120. 0.5160 . 5.0 0.9999997. Values in the table correspond to the area under the curve of a standard normal random variable for a value at or below z. 0 z z-table.xls.
Cumulative Probabilities of the Standard Normal Distribution N(0, 1). Left-sided area. Left-sided area. Left-sided area. Left-sided area. Left-sided area. Left-sided area z-score P(Z ? z-score) z-score P(Z ? z-score) z-score P(Z ? z-score) z-score P(Z ? z-score) z-score P(Z ? z-score) z-score P(Z ? z-score). –4.26. 0.00001.
@SLD if you need the pdf, you need to modify the question to ask for the density rather than the distribution. The distribution is the cdf. But for the pdf, you shouldn't need tables, since you can just evaluate the function. If you use R or Excel you can get the thing for whatever value you need. – Glen_b? Dec
z. NEGATIVE z Scores. *. TABLE A-2 Standard Normal (z) Distribution: Cumulative Area from the LEFT z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09. J3.50 and lower .0001. J3.4 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0002. J3.3 .0005 .0005 .0005 .0004 .0004 .0004 .0004 .0004 .0004 .0003. J3.2 .0007 .0007.
A standard normal table, also called the unit normal table or Z table, is a mathematical table for the values of ?, which are the values of the cumulative distribution function of the normal distribution. It is used to find the probability that a statistic is observed below, above, or between values on the standard normal distribution,
STATISTICAL TABLES. 1. TABLE A.1. Cumulative Standardized Normal Distribution. A(z) is the integral of the standardized normal distribution from ?. ? to z (in other words, the area under the curve to the left of z). It gives the probability of a normal random variable not being more than z standard deviations above its mean.
STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score. Z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09. -3.9 .00005 .00005 .00004 .00004 .00004 .00004 .00004 .00004 .00003 .00003. -3.8 .00007 .00007 .00007 .00006 .00006 .00006 .00006 .00005 .00005 .00005. -3.7 .00011 .00010
Table 1: Table of the Standard Normal Cumulative Distribution Function ?(z) z. 0.00. 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. 0.07. 0.08. 0.09. -3.4. 0.0003. 0.0003. 0.0003. 0.0003. 0.0003. 0.0003. 0.0003. 0.0003. 0.0003. 0.0002. -3.3. 0.0005. 0.0005. 0.0005. 0.0004. 0.0004. 0.0004. 0.0004. 0.0004. 0.0004. 0.0003. -3.2. 0.0007.
Table entry for z is the area under the standard normal curve to the left of z. Standard Normal Probabilities z z .00. –3.4. –3.3. –3.2. –3.1. –3.0. –2.9. –2.8. –2.7. –2.6. –2.5. –2.4. –2.3. –2.2. –2.1. –2.0. –1.9. –1.8. –1.7. –1.6. –1.5. –1.4. –1.3. –1.2. –1.1. –1.0. –0.9. –0.8. –0.7. –0.6. –0.5. –0.4. –0.3. –0.2. –0.1. –0.0 .0003 .0005.
How to Use This Table, The table below contains the area under the standard normal curve from 0 to z. This can be used to compute the cumulative distribution function values for the standard normal distribution. The table utilizes the symmetry normal PDF with shaded area between 0 and a. This can be clarified by a few

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February 2018