Table 1.1. Variable Types
| Variable Type | Example |
| Qualitative | |
| Binary | Sex |
| Categorical (Unordered, Nominal) | Territory (e.g., state/province) in which an insured resides |
| Ordered Category (Ordinal) | Claimant satisfaction (five point scale ranging from 1=dissatisfied to 5 =satisfied) |
| Quantitative | |
| Continuous | Policyholder's age, weight, income |
| Discrete | Amount of deductible |
| Count | Number of insurance claims |
| Combinations of Discrete and Continuous | Policy losses, mixture of 0's (for no loss) and positive claim amount |
| Interval Variable | Driver Age: 16-24 (young), 25-54 (intermediate), 55 and over (senior) |
| Circular Data | Time of day measures of customer arrival \hline |
| Multivariate Variable | |
| High Dimensional Data | Characteristics of a firm purchasing worker's compensation insurance (location of plants, industry, number of employees, and so on) |
| Spatial Data | Longitude/latitude of the location an insurance hailstorm claim |
| Missing Data | Policyholder's age (continuous/interval) and ``-99'' for ``not reported,'' that is, missing |
| Censored and Truncated Data | Amount of insurance claims in excess of a deductible |
| Aggregate Claims | Losses recorded for each claim in a motor vehicle policy. |
| Stochastic Process Realizations | The time and amount of each occurrence of an insured loss |
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Table 1.3. 2010 Average Severity Distribution| Minimum | First Quartile | Median | Mean | Third Quartile | Maximum |
| 167 | 2,226 | 4,951 | 56,330 | 11,900 | 12,920,000 |