Final answer:
Statistical significance is a way to determine whether differences and effects are real or likely due to error. It is true.
Step-by-step explanation:
Statistical significance is a way to determine whether differences and effects are real or likely due to error. True. In hypothesis testing, statistical significance is typically determined by comparing the p-value to a predetermined level of significance, commonly 0.05 or 5%. A p-value less than the significance level indicates that the observed difference is unlikely to be due to chance alone and is considered statistically significant.