Experimental Research Questions
The role of p-values in determining statistical significance in experimental research is to assess the likelihood that the observed results are due to chance. A p-value represents the probability of obtaining results as extreme as the ones observed, assuming that the null hypothesis is true. If the p-value is below a predetermined threshold (usually 0.05), it is considered statistically significant, indicating that the observed results are unlikely to be due to chance alone. In experimental research, p-values help researchers make informed decisions about whether to reject or fail to reject the null hypothesis, providing evidence for the presence or absence of a significant effect or relationship.