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  2. Z-table - Statistics by Jim

    statisticsbyjim.com/hypothesis-testing/z-table

    Use a z-table to find probabilities corresponding to ranges of z-scores and to find p-values for z-tests. The z-table is divided into two sections, negative and positive z-scores. Negative z-scores are below the mean, while positive z-scores are above the mean.

  3. Z Score Table - University of Pennsylvania

    www2.math.upenn.edu/~chhays/zscoretable.pdf

    Microsoft Word - Z Score Table. Score Table- chart value corresponds to area below z score. 0.09. 3.4 0.0002. 3.3 0.0003. 3.2 0.0005. 3.1 0.0007. 3.0 0.0010. 2.9 0.0014.

  4. STU Z Table - The Department of Mathematics

    math.arizona.edu/.../ma464/standardnormaltable.pdf

    Microsoft Word - STU Z Table.doc. STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score.

  5. How to use the Z Table (With Examples) - Statology

    www.statology.org/how-to-use-z-table

    A z-table is a table that tells you what percentage of values fall below a certain z-score in a standard normal distribution. A z-score simply tells you how many standard deviations away an individual data value falls from the mean.

  6. Use this standard normal distribution table (same as z score table, z table, normal distribution table or z chart) to find an area between the mean and Z score standard deviation. For negative negative z score table values just add a “-” sign.

  7. The Standard Normal Distribution | Calculator, Examples & Uses

    www.scribbr.com/statistics/standard-normal...

    The standard normal distribution, also called the z-distribution, is a special normal distribution where the mean is 0 and the standard deviation is 1. Any normal distribution can be standardized by converting its values into z scores. Z scores tell you how many standard deviations from the mean each value lies.

  8. A z-score measures the distance between a data point and the mean using standard deviations. Z-scores can be positive or negative. The sign tells you whether the observation is above or below the mean.