High School Recognising That There Are Data Sets For Which Normalisation Cannot Be Done Resources

Examine essential data normalization techniques in statistics, focusing on min-max and z-score methods. Develop proficiency in enhancing the accuracy of data analysis and boosting machine learning performance.

Study statistical reasoning with an emphasis on correlation and causation through various examples and practical applications. Develop skills in data interpretation and analysis, enhancing the ability to draw informed conclusions.

Investigate statistical questions and data distribution by examining symmetry, skewness, and the identification of outliers. Develop skills to determine data shapes and interpret categorical data effectively.