Finding a Z Score in R. Suppose you have been given a p value; this would be the percentage of observations that lie towards the left of the value that it corresponds to within the cumulative distribution function. If, for example, your p value is 0.80, it would be the point below which 80% of the observations lie, and above it, 20%.
Area Between Two Z-Scores Calculator. 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.Consequently, to find the area above a Z-score, you just need to find the area below the z-score in the z-table and subtract it from 1. Area above the Z-score = 1 – area below Z-score. Use this method to find the p-value for a one-sided z-test with the critical region in the right tail. In this testing scenario, the result is the p-value.
Calculating and interpreting the z-score. Let’s look at an example to see how to use this formula. Example. The mean score on a standardized test was 508 with a standard deviation of 42. One test-taker’s score was 590. Find and interpret the z-score for this score. From the example, we have the following information: The mean is: \(\mu