1: Using the Standardized Normal Distribution Table 2025

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To facilitate a uniform standard method for easy calculations and applicability to real-world problems, the standard conversion to Z-values was introduced, which form the part of the Normal Distribution Table. Z = (X mean)/stddev, where X is the random variable.
To use a z-table, first turn your data into a normal distribution and calculate the z-score for a given value. Then, find the matching z-score on the left side of the z-table and align it with the z-score at the top of the z-table. The result gives you the probability.
Summary. Identify your Z-score. Look up the Z-score in the Z-table to find the area to the left. Subtract this value from 1 to find the area to the right (above the mean).
The standard normal distribution table helps find the probability of values under the bell curve. To use the table, break the z-score into tenths and hundredths to find the probability. Negative z-scores can also be found in the table by adjusting the value found.
z-Distribution: The z-distribution, also called the standard normal distribution, is used in calculations for inference when the population standard deviation is known, or when sample sizes are large (at least 30).
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By converting a value in a normal distribution into a z score, you can easily find the p value for a z test. Once you have a z score, you can look up the corresponding probability in a z table. In a z table, the area under the curve is reported for every z value between -4 and 4 at intervals of 0.01.
Here we break the z-score into two parts, the left part is usually the units and tenths digits and the right part is the hundredths digit. Thus, a z-score of 2.41 becomes 2.4 and 0.01. Then we use the left part to identify a row of the table and the right part to identify a column of the table.
Standard Normal Distribution f ( x ) = 1 2 e x p ( 1 2 x 2 ) . In other words, the standard normal distribution is the normal distribution with mean =0 and standard deviation =1 .
z = (X ) / where X is a normal random variable, is the mean of X, and is the standard deviation of X. You can also find the normal distribution formula here. In probability theory, the normal or Gaussian distribution is a very common continuous probability distribution.

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