How to Use the Inverse Normal Distribution Calculator
Unlike the normal distribution calculator, which finds probability (area under the standard normal curve) from a z-score, the inverse normal distribution calculator works backwards by finding the z-score corresponding to a certain probability. In other words, it calculates the z value corresponding to a certain probability.
To use the calculator, follow these steps:
- Enter the probability value.
- Choose the probability type that matches your question.
- Click Calculate.
The calculator will instantly return the z-score corresponding to your probability and show you exactly how to find the z-score for your probability using the standard normal tables.
Struggling to choose the right probability type? You should choose:
- Left cumulative: P(Z < z) when the probability is to the left of the z score
- Right tail: P(Z > z) when the probability is to the right of the z score
- Central probability: P(-z < Z < z) when the probability is in the middle of the curve
- Outside probability when the probability is split between the two tails
What Is an Inverse Normal Distribution Calculator?
An inverse normal distribution calculator finds the z score that corresponds to a given probability under the standard normal distribution.
A regular z-score probability calculator starts with a z-score and finds the area. On the other hand, an inverse normal calculator does the opposite. It starts with an area or probability and finds the z-score.
For example, if the left-tail probability is 0.975, the calculator finds the z score where 97.5% of the standard normal curve is to the left. The result is approximately: z = 1.96. This value is commonly used in 95% confidence intervals because the middle 95% of the standard normal curve leaves 2.5% in each tail.
Example 1: Find a Z Score from a Left-Tail Probability
A student wants to find the z-score that cuts off the lowest 90% of the standard normal distribution. Find the z score.
Solution
The phrase lowest 90% means the area is to the left of the z score. Thus, we need to find the z value such that P(Z< z) = 0.90
Using the calculator:
- Choose Left cumulative: P(Z < z)
- Enter probability as 0.90
- Click Calculate
The calculator gives z = 1.2816. This means that a z score of about 1.28 cuts off the lowest 90% of the standard normal distribution. In other words, about 90% of values are below this z score, and 10% are above it.
Example 2: Find a Z Score from a Right-Tail Probability
A researcher wants to find the z-score where only 5% of values are above it. Find the z score.
Solution
The phrase 5% of values are above it means the area is to the right of the z score. Thus, we need to find the z value such that P(Z > z) = 0.05.
Using the calculator:
- Choose Right tail: P(Z > z)
- Enter probability as 0.05
- Click Calculate
The calculator gives z = 1.6449. This means that a z score of about 1.64 leaves 5% of the standard normal distribution to the right. In other words, about 95% of values are below this z score, and 5% are above it.
Example 3: Find Z Values from a Central Probability
Find the z values that contain the middle 95% of the standard normal distribution.
Solution
The phrase middle 95% means the area is centered around the mean. Thus, we need to find the z values such that P(-z < Z < z) = 0.95.
Using the calculator:
- Choose Central probability: P(-z < Z < z)
- Enter probability as 0.95
- Click Calculate
The calculator gives z = ±1.9600. This means that the middle 95% of the standard normal distribution lies between z = -1.96 and z = 1.96. In other words, 2.5% of values are below -1.96, and 2.5% are above 1.96.
Example 4: Find Z Values from an Outside Probability
A statistics question asks for the z values that leave 10% of the total area outside the interval. Find the z values.
Solution
The phrase outside the interval means the probability is split between the two tails. Thus, we need to find the z values such that P(Z < -z or Z > z) = 0.10.
Using the calculator:
- Choose the Outside probability
- Enter probability as 0.10
- Click Calculate
The calculator gives z = ±1.6449. This means that about 10% of the standard normal distribution lies outside the interval from z = -1.64 to z = 1.64. In other words, about 5% is in the left tail, 5% is in the right tail, and 90% is between the two z values in the middle.
Common Inverse Normal Values
Here are a few common inverse normal values for the standard normal distribution.
| Probability statement | Approximate z value | Common use |
|---|---|---|
| P(Z < z) = 0.90 | 1.28 | 90th percentile |
| P(Z < z) = 0.95 | 1.64 | 95th percentile |
| P(Z < z) = 0.975 | 1.96 | 97.5th percentile |
| P(Z < z) = 0.99 | 2.33 | 99th percentile |
| P(-z < Z < z) = 0.90 | ±1.64 | 90% central area |
| P(-z < Z < z) = 0.95 | ±1.96 | 95% central area |
| P(-z < Z < z) = 0.99 | ±2.58 | 99% central area |
Note. The values in the table are rounded off to two decimal places. Therefore, you should use the calculator when you need a more precise z-score.
When Should You Use This Calculator?
Use the inverse normal calculator when you know the probability or area under the standard normal curve and need to find the matching z score.
It is useful for:
- Finding z-scores from percentiles
- Finding z critical values from tail probabilities
- Finding z values for confidence intervals
- Finding cutoffs for the standard normal distribution
- Checking values from a Z table
However, if you need to calculate a z score from a raw score, mean, and standard deviation, use the z score calculator.
Frequently Asked Questions
It is an online tool that finds a z-score (s) that matches a given probability under the standard normal distribution.
Inverse normal means working backward from probability to z score. Instead of finding probability from a z score, you find the z score from a probability.
To find a z-score corresponding to a certain percentile using this calculator, you should first convert the percentile to a probability, then use the left cumulative option. For example, the 95th percentile is 0.95, so you enter 0.95 and choose P(Z < z).
For a left-tail probability of 0.975, the z score is approximately 1.96.
For a central probability of 0.95, the z values are approximately -1.96 and 1.96.
Yes. Many calculators call this function invNorm. It means finding the z-score or normal value from a given probability.
Yes. A probability less than 0.50 for the left cumulative option gives a negative z score because the value is below the mean.
Normal distribution probability finds the area from a z score. Inverse normal finds the z-score from the area.