What is the aim of Confirmatory data analysis?

• A. Finding new features
• B. Confirming or disproving a hypothesis
• C. Predicting future values
• D. Describing data distributions

Answer: (B)

Confirmatory data analysis is about testing pre-specified hypotheses with the data to determine whether the observed results support or contradict them. It focuses on making inferences about population parameters and often involves statistical tests to control error rates, aiming to generalize findings. This is different from discovering new patterns (exploratory analysis), forecasting future values (predictive analytics), or simply describing data (descriptive statistics). So the goal is to confirm or disprove a hypothesis.