If a z-score is negative, the data point is below the mean. If a z-score is 0, the data point is equal to the mean. For example, a z-score of +1.0 shows that the data point is one standard deviation above the mean, while a z-score of -1.0 shows the data point is one standard deviation below the mean. How to Use a Z-table Z score value calculated using the z-score formula represents the distance of raw score x value in the units of standard deviation from the mean value. A Z-Score formula can also be represented as below when the mean of population and population of standard deviation is unknown. The Z-score is used to predict the likelihood that a company will go bankrupt. A company's Z-score is calculated based on basic indicators found on its financial statements (e.g. earnings, assets, liabilities, equity, etc.). Lower and negative Z-scores indicate a higher likelihood that a company will go bankrupt, whereas higher and positive
A z-score is a measure of how many standard deviations below or above the population mean. What is a z-scores range? A z-score scores range from -3 std devs (which would fall to the far left of the normal distribution curve) to +3 std devs (which would fall to the far right of the normal distribution curve).
The Altman Z-score has a set scale by which results are expected to be measured. A score of 3 or greater indicates a company should be safe from filing bankruptcy. A score between 1.81 and 3 indicates that a company is likely to file bankruptcy at some point.
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what does the z score represent