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P-value Calculator

Normal DistributionBidirectional Z-Score & P-Value Solver

P-value Calculator

Please provide any one value below to compute p-value from z-score or vice versa for a standard normal distribution.

Z
Standard normal score
Left tail area
Right tail (upper tail)
Area from center (0 to 0.5)
Central confidence area
Two tails (significance α)
Quick Presets:
Calculation Results

Z = 2 | Two-Tail p = 0.0455

Significance Thresholds:✓ p < 0.05✗ p ≥ 0.01✗ p ≥ 0.001
The two-tailed p-value (0.0455) is statistically significant at the standard alpha = 0.05 level.
Left Tail P(x < Z):
0.97725
Cumulative Φ(Z)
Right Tail P(x > Z):
0.02275
Upper tail 1 - Φ(Z)
From Center P(0 to Z):
0.47725
|Φ(Z) - 0.5|
Between P(-Z < x < Z):
0.9545
2Φ(|Z|) - 1
Two Tails P(x < -Z or x > Z):
0.0455
2(1 - Φ(|Z|)) — Standard Two-Sided Significance Level

What is a P-value in Statistical Hypothesis Testing?

In statistics, the p-value (probability value) is the probability of obtaining test results at least as extreme as the results observed during an experiment, assuming that the null hypothesis (H₀) is true.

A small p-value provides strong evidence against the null hypothesis, suggesting that the observed effect or difference is unlikely to be the result of random chance alone.

Interpreting Significance Levels (α Thresholds)

α = 0.05 (Standard)

The most widely accepted threshold in scientific research. If p ≤ 0.05, there is less than a 5% probability that the result occurred by random chance.

α = 0.01 (Strong)

Used in clinical trials and rigorous testing. If p ≤ 0.01, there is less than a 1% chance of a false positive result (Type I error).

α = 0.001 (Very Strong)

Represents overwhelming evidence against the null hypothesis, with less than 1 in 1,000 odds of occurrence under H₀.

One-Tailed vs. Two-Tailed Hypothesis Tests

Test TypeHypothesis StatementRejection RegionExample Application
Two-Tailed TestH₁: μ ≠ μ₀ (Any difference)Both tails (α/2 in each tail)Testing whether a new manufacturing method changes product weight.
Right-Tailed TestH₁: μ > μ₀ (Increase)Upper tail (α in right tail)Testing whether a new fertilizer increases crop yield.
Left-Tailed TestH₁: μ < μ₀ (Decrease)Lower tail (α in left tail)Testing whether a diet drug decreases blood cholesterol.

Frequently Asked Questions

How do you convert a Z-score to a P-value?

By evaluating the Standard Normal Cumulative Distribution Function Φ(Z). For a right-tailed test, p = 1 - Φ(Z). For a two-tailed test, p = 2 × (1 - Φ(|Z|)).

What does a p-value of 0.03 mean?

A p-value of 0.03 means there is a 3% probability of observing data at least as extreme as yours if the null hypothesis were true. Since 0.03 is less than the standard 0.05 threshold, the result is considered statistically significant.

Can a P-value equal exactly 0 or 1?

In theoretical continuous normal distributions, the probability density function has infinite tails, meaning the p-value is strictly between 0 and 1 (0 < p < 1), though it can be rounded to 0 or 1 for extreme test statistics.

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Embed Widget

Understanding P-value Calculator & Formula

Mathematical Formula: P(left) = Φ(Z) | P(right) = 1 - Φ(Z) | P(two-tail) = 2(1 - Φ(|Z|))

The P-value Calculator on CalculatorScale.com is engineered to deliver instant, mathematically verified calculations conforming strictly to standard institutional equations. Whether planning long-term investments, managing household budgets, tracking clinical fitness targets, analyzing academic genetics, calculating veterinary dosages, or converting dimensional units, every calculation updates dynamically in real time without lag.

Every formula used in this tool adheres to certified international standards, including World Health Organization biometric metrics, veterinary clinical guidelines, NIST physical conversion constants, and standard biological equations. Results are computed entirely client-side inside your browser with complete data privacy, ensuring your sensitive numbers and statistics never leave your device.

Our calculators are 100% free with no registration, subscriptions, or paywalls required. You can toggle between imperial and metric units, customize input parameters, export calculation summaries, or embed this calculator directly into your own website or blog.

How to Use the P-value Calculator

  1. 1 Enter any one value: Z-score, Left-tail P(x < Z), Right-tail P(x > Z), From Center P(0 to Z), Between P(-Z < x < Z), or Two-Tails P(x < -Z or x > Z).
  2. 2 Click the green "Calculate ▶️" button or press Enter.
  3. 3 The calculator inverts or maps the probability to derive the exact Z-score and resolves the remaining five fields.
  4. 4 Examine the statistical significance thresholds (alpha = 0.05, 0.01, 0.001) and interpretation notes.
FAQ & Help 3 questions

P-value Calculator — Frequently Asked Questions

Q1 What is a P-value? ▾

A p-value is the probability of obtaining test results at least as extreme as the observed data, assuming that the null hypothesis (H₀) is true. Lower p-values indicate stronger evidence against H₀.

Q2 How do you find the P-value from a Z-score? ▾

Evaluate the standard normal cumulative distribution function Φ(Z). For a two-tailed test, p = 2 × (1 - Φ(|Z|)). For a right-tailed test, p = 1 - Φ(Z).

Q3 What is the difference between one-tailed and two-tailed tests? ▾

A one-tailed test evaluates for a directional change (e.g. increase or decrease exclusively), placing the rejection region in a single tail. A two-tailed test tests for any difference in either direction (positive or negative).

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