Learn what a Z-score is, how to find a Z-score, and review examples of Z-score applications.

How to Calculate an Observed Value When Given a Z-Score & Distribution Parameters: Step 1: Plug the z-score, mean, and standard deviation into the z-score formula: z = x μ σ Step 2: Solve for x.

Learn how to compare Z-scores of two data values from different distributions and see examples that walk through solutions, step-by-step, so you can improve your math knowledge and skills.

Learn how to calculate the z-statistic for a hypothesis test for a proportion and see examples that walk through sample problems step-by-step for you to improve your statistics knowledge and skills.

Steps for Calculating Z-scores Step 1: To calculate the z-score for a single data point x, we must first identify two additional values: The mean, μ, of the distribution from which the data point ...

Learn how to find the critical z-value for a given confidence level, and see examples that walk through sample problems step-by-step for you to improve your statistics knowledge.

Practice Calculating Z-scores with practice problems and explanations. Get instant feedback, extra help and step-by-step explanations.

Discover the purpose of z-scores in statistics and learn the formula to find the z-score. Understand what positive and negative z-scores mean.

The z-score is calculated by subtracting the population mean if known otherwise sample mean from the individual value and divide the difference value by population standard deviation or sample standard …

A z-score measures the distance of a data point from the mean in terms of standard deviations. To calculate a z-score, subtract the mean from your value, then divide by the standard deviation.