2023年10月13日 · The significance level (alpha) is a set probability threshold (often 0.05), while the p-value is the probability you calculate based on your study or analysis. A p-value less than or equal to your significance level (typically ≤ 0.05) is statistically significant.

2019年4月9日 · A p-value indicates how believable the null hypothesis is, given the sample data. Specifically, assuming the null hypothesis is true, the p-value tells us the probability of obtaining an effect at least as large as the one we actually observed in the sample data.

2017年4月18日 · The p-value represents the strength of your sample evidence against the null. Lower p-values represent stronger evidence. Like the significance level, the p-value is stated in terms of the likelihood of your sample evidence if the null is true.

2024年9月23日 · Typically, researchers use a significance level of 0.05 as a cutoff for statistical significance. Here’s what it means in practice: If p < 0.05 : This means that if the null hypothesis were true, we’d expect to see results as extreme as ours less than 5% of the time.

2024年6月24日 · If p-value > significance level: We fail to reject the null hypothesis and say the result is not statistically significant. For example, if your significance level is 0.05 and your calculated p-value is 0.03, you would reject the null hypothesis because 0.03 is less than 0.05.

2025年2月3日 · When performing a hypothesis test, the p-value is calculated based on the sample data, and it is compared to the significance level to make a decision: If the p-value ≤ α , the result is considered statistically significant, and the null hypothesis is rejected.

2021年1月7日 · In a hypothesis test, the p value is compared to the significance level to decide whether to reject the null hypothesis. If the p value is higher than the significance level, the null hypothesis is not refuted, and the results are not statistically significant.

2024年6月17日 · In spreadsheets, P-value Formula Excel Template can be downloaded for Excel to determine the p-values based on the score and the level of significance. How to find P value? P-values are found by comparing the test scores against the p-value table for different scores.

2023年3月13日 · With very large sample sizes, the p-value can be very low, and there are significant differences in reducing symptoms for Disease A between Drug 23 and Drug 22. The null hypothesis is deemed true until a study presents significant data to …

The probability value below which the null hypothesis is rejected is called the α level or simply \(α\) (“alpha”). It is also called the significance level. If α is not explicitly specified, assume that \(α\) = 0.05.