Please provide any one value to convert between z-score and probability. This is the equivalent of referencing a z-table. Use this calculator to find the probability (area P in the diagram) between two z-scores.

April 7, 2025 - This calculator finds the area to the left of a given z-score in the normal distribution.

March 1, 2024 - This calculator cuts through the complexity of calculating the area between two Z-scores without the need for extensive statistical background or sifting through Z-tables. Simply input below the two Z-scores between which you want to find the area (it accepts both positive and negative values) and then click “Calculate”. It’s that easy.

Enter the area under the normal curve (a proportion between 0 & 1) and get the Z-critical value, one-sided or two-sided. Download this calculator in an excel file or take a Crash course in Z-scores · The values presented in the graphs above are approximations derived from the work of Abramowitz & Stegun. If you need precision to more that 6 decimals you are encouraged to consult multiple published tables of Z-Values.

The Area Under the Curve Between Z scores calculates the area under the curve between the 2 z-scores entered in. To use this calculator, a user simply enters in the first z-score and then the second z-score and clicks the 'Calculate' button. The calculator will then automatically calculate ...

Use this simple z-Score calculator. Solve for probability, percentile and standard normal distribution curve area. Enter to learn with graphs and plots.

For example, knowing that someone is 175 cm tall doesn't tell us anything about how that person compares to the rest of the population. Is this person higher or smaller than average? On the other hand, if person's height has a z-score of 0.15, it means he is somewhat higher than the average; furthermore, we can calculate that he is taller than 55% of the population. The calculator solves three types of problems. Type 1. Find the area (probability) to the left, right, or between two Z-scores.

October 2, 2025 - Enter the total proportion of the area under the curve of any data set. The calculator will convert the area of the proportion into the raw Z score.

April 7, 2025 - This calculator finds the area to the right of a certain z-score in the normal distribution.

April 26, 2021 - Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .6217 to the left is .3099.

This calculator will tell you the cumulative area under the standard normal distribution, given a z-score (i.e., the cumulative probability from minus infinity to the z-score).

March 1, 2024 - To find the area to the right, you’ll subtract the table value from 1. For example, if the Z-score is 1.5, and the Z-table gives you an area of 0.9332 to the left of the Z-score, the area to the right is 1 – 0.9332 = 0.0668.

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This simple calculator allows you to calculate a standardized z-score for any raw value of X.

October 11, 2025 - Enter your Z-score. Click Calculate to view the probabilities. A small graph highlighting the shaded region of interest under the bell curve shows which area corresponds to each probability.

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April 7, 2025 - This calculator finds the area under the normal distribution between two z-scores. Simply enter the two z-scores below and then click the “Calculate” button. ... Z-scores transform values from any normal distribution into a standardized form, allowing statisticians to make probability ...

Use this Z table calculator to easily calculate the Z-score from a given raw score. Also computes areas under the normal curve (p-values) cut off by a given score. A table of Z scores and corresponding p-values is included, as well as the z score formula.

July 23, 2025 - The chance that a student will score greater than a particular Z-Score threshold is what we're trying to ascertain. ... # Define Z-Score z_score <- 2.0 # Calculate Area to the Right area_right <- 1 - pnorm(z_score) # Output Result print(paste("Probability of a student scoring higher than the Z-Score threshold:", round(area_right, 4)))