![]() ![]() ![]() ![]() Let’s say X is a random variable from a normal distribution, with mean μ and standard deviation σ. The Z-score formula can be used to compare the results from a test to a so-called normal population. It can be used to calculate the area under the standard normal curve for any value between the mean (zero) and any Z-score. After this, a Z-table can be used to find percentages under the curve. Therefore, the normal curve is standardized and set to have a mean of zero and a standard deviation of one. As a result of these wide ranges, it can be extremely tricky and tough to analyze data. For example, the heights of human beings can range from eighteen inches to eight feet, and their weights can range from one pound to more than five hundred pounds. There is a different set of values associated with every set of data. Z– score (also called a standard score) gives you an idea of how far from the mean a data point is. How to use this Z Score to Calculate Result?. ![]()
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