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2017-03-10 Meeting notes

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

Protégé

6)  For next week.

Proceedings

No slides today – discussed statistical datatypes, after a working session between Dan and Elisa yesterday on this:

1. Finite population – a population for which it is possible to count its units
2. Mean – the average of a set of numbers
1. Arithmetic mean - see https://en.wikipedia.org/wiki/Arithmetic_mean
2. Geometric mean - see https://en.wikipedia.org/wiki/Geometric_mean
3. Total – sum of the values for some characteristic of all units
4. Index – the change in some aggregate relative to the value of the aggregate at a reference period
1. A mathematical device or number which is used to express the observation (eg., price level, volume of trade, relative amount etc.) of a given period, in comparison with that of a base period. Source: Survey Research Glossary, November 2002.
5. Ratio – result of dividing one measure by another
6. Statistical datatype families:
1. Nominal – unordered named categories
2. Ordinal – nominal categories that are ordered
3. Interval – quantitative data where differences between values are meaningful
4. Ratio – interval data where a value of zero means absence of the quantity measured
7. 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. Margin of error may not be as crisply defined as sampling error, so for FIBO we will stick with sampling error.

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