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  1. S.3.2 Hypothesis Testing (P-Value Approach) | STAT ONLINE

    The P -value approach involves determining "likely" or "unlikely" by determining the probability — assuming the null hypothesis was true — of observing a more extreme test statistic in the direction of …

  2. P-Value: Comprehensive Guide to Understand, Apply, and Interpret

    Jul 27, 2025 · A p-value is a statistical metric used to assess a hypothesis by comparing it with observed data. This article delves into the concept of p-value, its calculation, interpretation, and significance. It …

  3. Understanding P-Values and Statistical Significance

    Aug 11, 2025 · A p-value, or probability value, is a number describing how likely it is that your data would have occurred by random chance (i.e., that the null hypothesis is true).

  4. p-values Explained in Plain English (with Visuals) - Statology

    Sep 2, 2025 · p-values are a statistical tool for testing whether data align with the assumption of no true effect under the null hypothesis. A small p-value suggests the results are unlikely if the null …

  5. p-value - Wikipedia

    In null-hypothesis significance testing, the p-value[note 1] is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is …

  6. Understanding P-values | Definition and Examples - Scribbr

    Jul 16, 2020 · What exactly is a p value? The p value, or probability value, tells you how likely it is that your data could have occurred under the null hypothesis. It does this by calculating the likelihood of …

  7. Interpreting P values - Statistics by Jim

    Apr 18, 2017 · In all hypothesis tests, the researchers are testing an effect of some sort. The effect can be the effectiveness of a new vaccination, the durability of a new product, and so on. There is some …

  8. Hypothesis Testing | Introduction to Statistics | JMP

    Learn hypothesis testing in statistics with clear explanations of null and alternative hypotheses, p‑values, significance levels, Type I and Type II errors, test power, and common tests like t‑test, ANOVA, …

  9. P Value: A Complete Guide to Statistical Significance Testing

    4 days ago · The probability value, commonly known as the p value, serves as the foundation of statistical hypothesis testing across virtually every field of scientific research.

  10. Home - Interpret probability values (p-values) in hypothesis testing ...

    4 days ago · Unit III – Inference Outcome 8: Interpret probability values (p-values) in hypothesis testing. 1. Learning Goal After working through this page, you should be able to: State the correct definition …