6. Traditional statistics (descriptive and inferential):
Traditional statistics, such as descriptive and inferential
analysis are essential for understanding big data in computing:
1. Descriptive analysis: Summarise data features like central,
changeability, deployment, and association.
2. Inferential analysis: Make predictions about a whole
dataset based on a model, using methods like idea testing and direction
analysis.
Big data shows challenges due to its size and complicated.
Traditional analysis needs adjustment, often using sync processing along
standard methods to handle big data effectively.
Traditional statistics (descriptive and inferential)
