A p-value less than 0.05 is considered statistically significant in research. This means that if the null hypothesis were true, there would be less than a 5% chance of observing results just as extreme.

Aug 11, 2025 · The p-value in statistics quantifies the evidence against a null hypothesis. A low p-value suggests data is inconsistent with the null, potentially favoring an alternative hypothesis. Common …

Jun 15, 2021 · This tutorial explains how to interpret a p-value less than 0.05, including several examples.

Jun 3, 2023 · P-value < 0.05 indicates evidence against the null hypothesis, suggesting a statistically significant effect or relationship. Sir Ronald A. Fisher introduced the 0.05 threshold in 1925, striking a …

May 11, 2025 · If the p-value is less than or equal to the significance level (p ≤ α), the researchers reject the null hypothesis. This is because the observed data is considered unlikely enough to have …

5 days ago · Understanding the significance of a p-value can be crucial for making informed decisions. We'll explore why the 0.05 cutoff is used, what a p-value less than 0.05 actually means, and how to …

Oct 25, 2023 · In SMRW, Fisher explains that a p -value of 0.05 is a practical threshold because it represents results that are roughly two (2) standard deviations away from no difference. With a p …

Aug 6, 2020 · So, the smaller the p-value, the more unlikely it is that this data would have been observed under the null hypothesis. In essence, the smaller the p-value, the stronger the evidence …

Jul 27, 2025 · Used when dealing with large sample sizes or when the population standard deviation is known. A small p-value (smaller than 0.05) indicates strong evidence against the null hypothesis, …

Nov 3, 2025 · In most biomedical research, alpha is set to 0.05 (or 5%). This creates a simple rule for decision-making: If p ≤ 0.05 (p is low): Your result is statistically significant. You reject the null …