Create a thorough lab project about data normalisation methods. Select a dataset with a range of scales and different properties. Assign pupils the task of investigating and utilising normalisation techniques including Decimal Scaling, Z-Score normalisation, and Min-Max Scaling. Examine the effects on model performance and data distribution. Provide a comparative analysis that discusses the benefits and drawbacks of each method. Place a strong emphasis on real-world applications that enhance model robustness and data quality. Make a thorough report and presentation.