Which statement is NOT true regarding p-value?

The statement indicating that if the p-value is less than or equal to 0.05, there is NOT a significant difference is incorrect. In hypothesis testing, a p-value is used to determine the strength of the evidence against the null hypothesis. A p-value of 0.05 is commonly used as a threshold for significance. When the p-value is less than or equal to 0.05, it indicates strong evidence against the null hypothesis, suggesting that there is a statistically significant difference or effect present in the data.

Therefore, the correct understanding is that a lower p-value (like 0.05 or less) typically leads to rejecting the null hypothesis in favor of the alternative hypothesis, affirming that a significant difference does exist. This makes statement D incorrect, as it misrepresents the interpretation of a p-value in the context of hypothesis testing.