Final answer:
The correct answer is Option A: True. Statistical significance is a way to determine whether differences and effects are real or likely due to error.
Step-by-step explanation:
The correct answer is Option A: True.In statistics, statistical significance is a way to determine whether differences and effects are real or likely due to error. It helps researchers make conclusions about a population based on sample data. It involves calculating a P-value, which measures the probability of obtaining the observed data if the null hypothesis is true.
A P-value of less than 0.05 (or 5%) is commonly used to determine statistical significance. If the P-value is less than 0.05, it indicates that the observed difference is unlikely to be due to chance alone, and therefore, the difference is considered statistically significant. On the other hand, if the P-value is greater than 0.05, it suggests that the observed difference could have occurred by chance, and the difference is not considered statistically significant.