P-Value Calculator
Calculate p-values for statistical hypothesis testing including Z-test, T-test, two-sample T-test, and Chi-square test. Includes step-by-step solutions, distribution graphs, and statistical interpretation.
Key Features
- • Z-test (one-sample hypothesis testing)
- • T-test (one-sample & two-sample)
- • Chi-square goodness-of-fit test
- • One-tailed and two-tailed test support
- • Adjustable significance level (α)
- • Step-by-step calculation breakdown
- • Test statistic and critical value computation
- • Distribution visualization (normal, t, chi-square)
- • Highlighted p-value region on graph
- • Frequency charts (for chi-square test)
- • Calculation history with export (CSV, JSON, PDF)
Use Cases
- • Statistical hypothesis testing
- • Academic research and data analysis
- • Machine learning model evaluation
- • Business and A/B testing
- • Scientific experiments and validation
How It Works
- • Select test type (Z-test, T-test, Chi-square, etc.)
- • Choose tail type (one-tailed or two-tailed)
- • Enter required sample data or parameters
- • Set significance level (α)
- • Run calculation to compute test statistic and p-value
- • Interpret results with graphs and step-by-step explanation
Configure Test
?Select statistical test
?Select test direction
?Threshold for statistical significance (e.g., 0.05)
?Mean of the sample
?Known population mean
?Known population standard deviation
?Number of observations