re worded . Descriptive Statistics: Brief explanation: Descriptive statistics helped summarize and describe the main features of the collected data. Student-friendly: Think of it as creating a snapshot of the data, giving us a quick overview of what's happening. 2. Correlation Analysis: Brief explanation: Correlation analysis was used to identify relationships between variables, helping understand if changes in one variable relate to changes in another. Student-friendly: It's like checking if two things are connected or if they move together. 3. Regression Analysis: Brief explanation: Regression analysis helped explore the strength and nature of the relationship between variables, predicting how changes in one variable might affect another. Student-friendly: Imagine predicting how your study time influences your exam score - that's regression. 4. Inferential Statistics: Brief explanation: Inferential statistics allowed researchers to make predictions or inferences about the broader population based on the collected sample data. Student-friendly: It's like making educated guesses about a whole group based on what we observed in a smaller group