Date
Attendees
Agenda
1) Use Case reminder.
2) Where we are on our road map.
3) Open Action Items
4 ) JIRA Issues Review
5) Todays content discussion.
UML
Spreadsheet
Protégé
6) For next week.
Proceedings
No slides today – discussed statistical datatypes, after a working session between Dan and Elisa yesterday on this:
- Finite population – a population for which it is possible to count its units
- Mean – the average of a set of numbers
- Arithmetic mean - (Lucy)
- Geometric mean - (Lucy)
- Total – sum of the values for some characteristic of all units
- Index – the change in some aggregate relative to the value of the aggregate at a reference period (Best to ask Lucy)
- Ratio – result of dividing one measure by another
- Statistical datatype families:
- Nominal – unordered named categories
- Ordinal – nominal categories that are ordered
- Interval – quantitative data where differences between values are meaningful
- Ratio – interval data where a value of zero means absence of the quantity measured
- Unit of measure – a definite magnitude, established by convention, and used as a standard for measurement (modified from Wikipedia)
Based on an sample vs. based on a census – property of statistical measure. Populations are usually finite at the point in time (reference period) when they are defined (need to add this as well). If a statistical measure is based on a sample, then a statistical measure of the target population during a reference period is an estimate. On a census then it's the best value for that time period ... actual? census count? Then calculate variation with respect to the count ... sample approach has sampling error with a census approach does not have, but there is measurement error in both cases (which is why you would say that they are both estimates) – there is error in capturing the information regardless ... non-sampling errors.
Need a definition of error, sampling error, bias, total survey error, ... Dan will send definitions of kinds of errors.