A statistical procedure that compares the relative frequency or size of different variables to determine whether there is a relationship between them is called

• A. Correlation
• B. Counterbalance Hypothesis
• C. Declaritive Knowledge
• D. Developmental Features

Answer: (A)

Correlation captures how two variables relate to each other by looking at how their values co-vary. It tells you whether increases in one variable tend to accompany increases (positive relationship) or decreases (negative relationship) in the other, or whether they move independently. The strength and direction are summarized by a coefficient that ranges from -1 to 1, where values near the extremes indicate a strong relationship and values near zero indicate little to no linear relationship. This approach helps determine if a relationship exists and how strong it is, though it doesn’t prove that one variable causes the other.

The other options don’t fit because they aren’t statistical procedures for assessing relationships between variables: a counterbalance hypothesis isn’t a standard method for measuring associations; declarative knowledge refers to a type of knowledge, not a statistical technique; developmental features relate to growth patterns rather than a method for examining relationships between variables.