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

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.

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.

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.

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 ...

Practice Calculating Z-scores with practice problems and explanations. Get instant feedback, extra help and step-by-step explanations. Boost your Statistics and Probability grade with Calculating ...

Learn how to calculate t-scores. Study the t-score formula, discover examples of how to use the t-score equation, and identify applications of t-scores.

The Z-score is computed as the difference between a data point and the population mean, divided by the population standard deviation. The z-score is used to calculate a percentile rank.

Where the normal distribution aims to calculate the probability of an event given an outcome, the inverse normal distribution formula provides a method for determining an outcome given a probability.