There is one · special · · atomic · datatype ( anyAtomicType ), and a number of · primitive · · atomic · datatypes which have anyAtomicType as their · base type · . All other · atomic · datatypes are · derived · either from one of the · primitive · · atomic · datatypes or from another · ordinary · · atomic · datatype. No · user-defined · datatype may have anyAtomicType as its · base type · .
Scorecards are produced each year to show the jurisdiction-wide ratio and the distribution of ratios for all companies filing an MCAS in a given jurisdiction. Individual company ratio information is available through the online MCAS application. A company may gain a better understanding of where they fit in the insurance marketplace and what opportunities may exist to improve their performance in a jurisdiction by comparing their jurisdiction-specific ratios to the scorecard for that jurisdiction. Each year, within 60 days of the filing due date, the most recent scorecards for all participating MCAS jurisdictions are made available on this webpage.
The standard deviation we obtain by sampling a distribution is itself not absolutely accurate, both for mathematical reasons (explained here by the confidence interval) and for practical reasons of measurement (measurement error). The mathematical effect can be described by the confidence interval or CI. To show how a larger sample will make the confidence interval narrower, consider the following examples: A small population of N = 2 has only 1 degree of freedom for estimating the standard deviation. The result is that a 95% CI of the SD runs from × SD to × SD; the factors here are as follows :