Pvalue Calculator

🧮 Statistical Test Calculator

📖 How to Use the P-Value Calculator

1️⃣

Choose Test Type

Select the appropriate statistical test based on your data and research question.

2️⃣

Enter Data

Input your sample statistics like means, standard deviations, and sample sizes.

3️⃣

Set Parameters

Choose your significance level and test direction (one-tailed or two-tailed).

4️⃣

Interpret Results

Review the p-value and significance interpretation to make statistical conclusions.

🔬 Statistical Tests Explained

📊 T-Test (One Sample)

Tests whether a sample mean differs significantly from a known population mean. Used when population standard deviation is unknown.

Use when: Comparing sample mean to known value, small sample size (n < 30)

📈 T-Test (Two Sample)

Compares the means of two independent samples to determine if they differ significantly.

Use when: Comparing two group means, independent samples

🎯 Z-Test

Tests hypotheses about population means when the population standard deviation is known and sample size is large.

Use when: Large sample size (n ≥ 30), known population standard deviation

🔄 Chi-Square Test

Tests the association between categorical variables or goodness of fit to expected distributions.

Use when: Categorical data, testing independence or goodness of fit

🎓 Understanding P-Values

A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true. It's a crucial concept in statistical hypothesis testing.

🔴

p < 0.05

Statistically significant - reject null hypothesis

🟡

0.05 ≤ p < 0.10

Marginally significant - consider context

🟢

p ≥ 0.10

Not significant - fail to reject null hypothesis

📌 Key Points to Remember

• A low p-value (< 0.05) suggests strong evidence against the null hypothesis
• P-values don't indicate the size or importance of an effect
• Always consider the context and practical significance of results
• P-values should be interpreted alongside confidence intervals

⚠️ Important Disclaimer

This calculator provides statistical computations for educational and research purposes. Always consult with a statistician or expert for complex analyses. Ensure your data meets the assumptions of the chosen test before interpreting results.

📊 P-Value Calculator