![]() Therefore, the cut-off point would be around 1.65 standard deviations above the mean. By using the positive Z score table, we find that a Z score of approximately 1.65 corresponds to a cumulative probability of 0.9505. Example 2 - Finding the Cut-off Point: Imagine we are conducting a study and want to determine the cut-off point that includes the top 5% of the data.This means that approximately 10.56% of the data falls below a Z score of -1.25. Using the negative Z score table, we locate the corresponding value, which is 0.1056. We want to find the probability of observing a value less than a Z score of -1.25. ![]()
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