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Calculator to find out the z-score of a normal distribution, convert between z-score and probability, and find the probability between 2 z-scores.
Z-score calculator computes a standardized z-score for any raw data point x. Enter population mean and standard deviation for a given normal distribution.
The z score calculator is a simple yet powerful tool for statistical analysis, allowing you to understand how individual data points relate to the entire dataset. By standardizing values, z-scores enable accurate comparison across datasets, helping identify outliers and making predictions based on the distribution.
Use this Z-Score Calculator to calculate the standard normal score (z-score) based on the raw score value, the population mean, and the standard deviation of the population.
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 to learn how to calculate the z-score and how to use the z-score table.
Use this simple z-Score calculator. Solve for probability, percentile and standard normal distribution curve area. Enter to learn with graphs and plots.
The Z-Score Calculator helps to get the z-score of a normal distribution, convert between z-score and probability, and get the probability between 2 z-scores.
The Z-score Calculator is an online tool to measure how many standard deviations an element is from the mean. It efficiently aids in statistical analysis by making complex calculations straightforward and accessible.
Z-score Calculation Formula. In the realm of mathematics, the Z-score is calculated using the following formula: z = (X - μ) / σ. Where: z is the Z-score, X is the value being measured, μ (mu) is the mean of the population, σ (sigma) is the standard deviation of the population.
Enter the Raw Score, Mean (μ), and Standard Deviation (σ) for your data. Click "Calculate Z-Score" to calculate the Z-Score and related values. Results, including the Z-Score, p-values, and confidence level, will be displayed below.