Z-Score Table, Chart and More (Standard Normal Table)
This score measures how many standard deviations a data point is from the mean of a distribution. It’s calculated by subtracting the mean from the value and dividing by the standard deviation. Positive z-scores indicate values above the mean, while negative z-scores represent values below it.
📊 Positive Z-Scores (0.00 to 3.99)
Cumulative Probability from Left
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📊 Negative Z-Scores (-3.99 to -0.00)
Cumulative Probability from Left
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A z-score table, also called a standard normal table, shows the cumulative probability associated with each z-score in a standard normal distribution (mean = 0, standard deviation = 1). The table helps you find the probability that a randomly selected value falls below a given z-score without complex calculations.
To use the table, locate the row corresponding to your z-score’s first decimal place, then find the column for the second decimal place. The intersection gives you the cumulative probability from the left tail. For example, a z-score of 1.96 corresponds to approximately 0.9750, meaning 97.50% of values fall below this point. Z-tables are essential tools in statistics for hypothesis testing, confidence intervals, and probability calculations.Retry