P-Value

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What is P-Value?

The p-value is a number that tells you how likely it is that your data could have occurred under the null hypothesis. It represents the probability of observing a test statistic as extreme as, or more extreme than, the one computed from your sample data, assuming the null hypothesis is true. A small p-value (typically ≤ 0.05) suggests strong evidence against the null hypothesis, so you reject the null hypothesis. A large p-value (> 0.05) suggests weak evidence against the null hypothesis, so you fail to reject the null hypothesis.

Free resources to learn P-Value

More in stage 18: Data Sources

P-Value: common questions

Can I learn P-Value in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain P-Value in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this P-Value tutorial for beginners?

It is lesson 57 of 200 in the free BI Analyst roadmap, in stage 18, Data Sources. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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