Understanding P-Values and Statistical Significance
Aug 11, 2025 · If your p-value is less than or equal to 0.05 (the significance level), you would conclude that your result is statistically significant. This means the evidence is strong enough to reject the null …
Statistical significance - Wikipedia
In statistical hypothesis testing, [1][2] a result has statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis were true. [3] More precisely, a study's …
7.3: Critical Values, p-Values, and Significance Level
Sep 22, 2025 · The significance level is a threshold we set before collecting data in order to determine whether or not we should reject the null hypothesis. We set this value beforehand to avoid biasing …
S.3.2 Hypothesis Testing (P-Value Approach) | STAT ONLINE
S.3.2 Hypothesis Testing (P-Value Approach) The P -value approach involves determining "likely" or "unlikely" by determining the probability — assuming the null hypothesis was true — of observing a …
P-values and significance levels: What they mean in hypothesis testing
Mar 2, 2025 · In hypothesis testing, we compare the p-value to a predetermined significance level (denoted as α, typically set at 0.05). If the p-value is less than α, we reject the null hypothesis, …
Understanding Statistical Significance - Statology
Feb 20, 2025 · Low p-value (≤ 0.05): A p-value less than or equal to 0.05 typically indicates that the observed results are unlikely to have occurred by chance. Therefore, the null hypothesis is rejected, …
Understanding P-Values and Statistical Significance: A Guide for Data ...
May 23, 2025 · To decide if your results are statistically significant, you compare your p-value to a significance level, commonly denoted as alpha (α). A common threshold is α = 0.05 (5%). If p ≤ α, …
8.4 Level of Significance and the p-Value – Simple Stats Tools
To summarize, when a hypothesis is tested, we end up with an associated p-value (again, the probability of the observed sample statistics if the null hypothesis is true). We compare the p-value to the pre …
P‑Value Explained: What It Is, How It Works & Why It Matters
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 …
p-value - Wikipedia
Usually only a single p -value relating to a hypothesis is observed, so the p -value is interpreted by a significance test, and no effort is made to estimate the distribution it was drawn from.