Why Measures Of Central Tendencies Not Enough For Data Study
Why measures of central tendencies not enough for data study?
graph TD
A[Why measures of central tendencies not enough for data study?]
B[Limitations of Mean]
C[Limitations of Median]
D[Limitations of Mode]
E[Importance of Data Distribution]
F[Need for Additional Statistical Measures]
G[Real World Data Complexity]
A --> B
A --> C
A --> D
A --> E
A --> F
A --> G
B -->|Influence of Outliers| H[Mean can be skewed by outliers]
C -->|Not Reflective of Data Distribution| I[Median doesn't provide information about the entire data set]
D -->|Not Useful for Continuous Data| J[Mode is less useful for data with many unique values]
E -->|Variability and Skewness| K[Understanding the spread and asymmetry of data]
F -->|Standard Deviation, Variance, etc.| L[More comprehensive understanding of data]
G -->|Multiple Variables, Non-Normal Distribution, etc.| M[Complexity of real world data requires more than central tendencies]
