About this module
A typical value is only part of the story.
Spread and shape explain how customer experiences or returns differ around that center.
We will preserve units while taking absolute values, squares, and roots, and distinguish robustness from permission to ignore serious tail outcomes.
Lessons
- Lesson 41
Deviation, Absolute Deviation, and Squared Deviation
Explaining inconsistent settlement time
2:37 - Lesson 42
Range and Interquartile Range
Separating the overall spread from the typical middle spread
2:23 - Lesson 43
Mean Absolute Deviation
An interpretable average distance from a central delay
2:22 - Lesson 44
Median Absolute Deviation
Robust central spread without confusing two MADs
2:32 - Lesson 45
Population and Sample Variance
Variance as a ledger of squared deviations
2:35 - Lesson 46
Population and Sample Standard Deviation
Returning risk or service spread to the original unit
2:29 - Lesson 47
Coefficient of Variation and Scale Comparability
Comparing relative spread across positive-scale services
2:35 - Lesson 48
Z-Score, Robust Z-Score, and Standardization
Standardizing alerts without turning unusual into fraudulent
2:32 - Lesson 49
Skewness and Tail Asymmetry
Recognizing the direction of a service-delay tail
2:41 - Lesson 50
Kurtosis, Excess Kurtosis, and Tail Weight
Interpreting fourth moments without declaring a tail safe
2:44