Significant Difference:


A significant difference refers to a statistically notable distinction or contrast between two or more variables, factors, or groups.


Statistical Significance:

Statistical significance is a measure used to determine if the observed difference between two or more variables is unlikely to have occurred by chance alone. It helps assess the reliability and importance of the observed difference.

Hypothesis Testing:

Hypothesis testing is a method in statistics used to evaluate if there is a significant difference between two or more groups. It involves formulating a null hypothesis, collecting data, and analyzing the results to either accept or reject the null hypothesis based on statistical evidence.

Effect Size:

Effect size is a measure that quantifies the magnitude or strength of the relationship between two variables, factors, or groups. It provides valuable information about the practical significance and impact of the observed difference.

Confidence Interval:

A confidence interval is an interval estimate that quantifies the uncertainty around an observed difference. It provides a range of values within which the true difference is likely to fall, indicating the precision of the estimate.