What are the Challenges in Working with Continuous Variables?
While continuous variables provide detailed information, they also present several challenges:
Measurement error: Inaccurate measurements can lead to incorrect conclusions. Ensuring precision and accuracy is vital. Data transformation: Sometimes, continuous data may need to be transformed (e.g., log transformation) to meet the assumptions of certain statistical tests. Handling outliers: Outliers can distort the analysis, so it's essential to identify and appropriately address them. Missing data: Incomplete data can bias results, making it crucial to handle missing values properly.
