Search results
Positive Z Table Z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 0.5 0.50399 0.50798 0.51197 0.51595 0.51994 0.52392 0.5279 0.53188 0.53586 0.1 0.53983 0.5438 0.54776 0 ...
NOTE: For values of z above 3.49, use 0.9999 for the area. *Use these common values that result from interpolation: z score Area 1.645 0.9500 2.575 0.9950 * * 0 z Common Critical Values Confidence Level Critical Value 0.90 1.645 0.95 1.96 0.99 2.575
Negative Z score table. Use the negative Z score table below to find values on the left of the mean as can be seen in the graph alongside. Corresponding values which are less than the mean are marked with a negative score in the z-table and respresent the area under the bell curve to the left of z. 1.1 – Negative Z Table. Positive Z score table.
x ϕ(x) z STANDARD NORMAL TABLE Positive z−values 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 0.5199 0.5239 0.5279 0. ...
Standard Normal Table (positive z values, cumulative probabilities) 1 to 30, tail probabilities) 31 to 66, tail probabilities) 67 to 100, tail probabilities)
The z-score translates any x-value of any normal distribution into a measure of how far that value is from the mean, in numbers of standard deviations. This is why there are both negative and positive z-scores: negative z-scores represent x-values below the mean, and positive z-scores represent x-values above the mean.
Values above the mean have positive z-scores, while values below the mean have negative z-scores. The z-score can be calculated by subtracting the population mean from the raw score, or data point in question (a test score, height, age, etc.), then dividing the difference by the population standard deviation:
