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## Perguntas Frequentes

## 1How Do You Calculate Z-Score?

The formula for calculating a z-score is is z = (x-μ)/σ, where x is the raw score, μ is the population mean, and σ is the population standard deviation. As the formula shows, the z-score is simply the raw score minus the population mean, divided by the population standard deviation.

## 2What Is Z-Score Probability?

The standard score (more commonly referred to as a z-score) is a very useful statistic because it (a) allows us to calculate the probability of a score occurring within our normal distribution and (b) enables us to compare two scores that are from different normal distributions.

## 3How Do You Find The Z-Score For A Set Of Data?

Take your data point, subtract the mean from the data point and then divide by your standard deviation. That gives you your Z-score.

## 4How Do You Find Probability With Z-Score?

To find the probability of LARGER z-score, which is the probability of observing a value greater than x (the area under the curve to the RIGHT of x), type: =1 – NORMSDIST (and input the z-score you calculated).

## 5Is Z-Score Equal To Probability?

Since z-scores are a measure of the number of standard deviations (SDs) between a value and the mean, they can be used to calculate probability by comparing the location of the z-score to the area under a normal curve either to the left or right.

## 6What Does The Z-Score Tell You?

Z-score indicates how much a given value differs from the standard deviation. The Z-score, or standard score, is the number of standard deviations a given data point lies above or below mean. Standard deviation is essentially a reflection of the amount of variability within a given data set.