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Example: To find 0.69, one would look down the rows to find 0.6 and then across the columns to 0.09 which would yield a probability of 0.25490 for a cumulative from mean table or 0.75490 from a cumulative table. To find a negative value such as -0.83, one could use a cumulative table for negative z-values [3] which yield a probability of 0.20327.
Why is this page referencing a specific type of table? The textbook I have in my class (not saying that it is the only answer) uses a different table, with prob's from 0.0000 to 0.4990. The Z values are the same, from 0.00 to 3.00. Shouldn't we reference all types, and provide methods and rationales for each? Andrew 19:07, 1 November 2007 (UTC)
where z is the standard score or "z-score", i.e. z is how many standard deviations above the mean the raw score is (z is negative if the raw score is below the mean). The reason for the choice of the number 21.06 is to bring about the following result: If the scores are normally distributed (i.e. they follow the "bell-shaped curve") then
Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.
Print/export Download as PDF; Printable version; In other projects ... move to sidebar hide. Z-score is a type of statistical ratio. It may also refer to: Z-value, in ...
The companies claimed, among other things, that the health warnings violated their free speech rights by compelling the companies to endorse the U.S. government's anti-smoking message through ...
The Z-test tells us that the 55 students of interest have an unusually low mean test score compared to most simple random samples of similar size from the population of test-takers. A deficiency of this analysis is that it does not consider whether the effect size of 4 points is meaningful.
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