Question: Explain the concept of A/B testing and its significance in data-driven decision-making.

Answer: A/B testing involves comparing two versions (A and B) of a variable to determine which performs better. It is widely used in marketing and product development to make data-driven decisions and optimize outcomes.

Example:

Testing two different website designs (A and B) to determine which leads to higher user engagement.