Normalization is a process used in databases to organize data efficiently. It involves structuring a database in a way that reduces redundancy and improves data integrity. By breaking down large tables into smaller, related ones, normalization helps ensure that each piece of information is stored only once, making it easier to update and manage. In addition to databases, normalization is also important in statistics. It refers to adjusting values measured on different scales to a common scale. This allows for fair comparisons between different datasets, such as comparing the performance of students in different schools or countries without bias from varying grading systems.