To calculate the z-score, use the formula z= (x-μ)/σ, where x is the raw score, μ is the mean and σ is the standard deviation. In words, subtract the mean from the raw score and then divide by the standard …

Oct 24, 2024 · To find the Z score of a sample, you'll need to find the mean, variance and standard deviation of the sample. To calculate the z-score, you will find the difference between a value in the …

The formula for finding z-scores is the following: X represents the data point of interest. Mu and sigma represent the mean and standard deviation for the population from which you drew your sample. …

Values above the mean have positive z-scores, while values below the mean have negative z-scores. The z-score can be calculated by subtracting the population mean from the raw score, or data point …

Z-score definition. How to calculate it (includes step by step video). Hundreds of statistics help articles, videos.

Z-score, otherwise known as the standard score, is the number of standard deviations by which a data point is above the mean. You can use our z-score calculator to determine this value for you. Read on …

What are z-scores? A z-score measures exactly how many standard deviations above or below the mean a data point is.

Oct 7, 2025 · The process involves converting all variables (both predictors and outcomes) to z-scores before running the regression. The resulting standardized coefficients tell you "how many standard …

Standardize data using the Z-score formula, interpret results, and check significance with quick examples.

Aug 31, 2025 · Learn how to calculate the z-score in statistics with a clear step-by-step method. Explore the formula, see examples, and understand how to interpret z scores.