** OES CODE** - This five-digit code identifies a particular
occupation on the list of Occupational Employment Statistics
(OES) occupations.

** OES TITLE** - A short title describing each occupation included in
the OES occupations.

**TOTAL FIRMS SAMPLED** - The number of firms sampled for this
occupation.

** NUMBER OF RESPONDENT FIRMS**- This is the number of valid responses
(firms) who submitted wage data included in the statistical
analysis for each occupation.

** ESTIMATED UI OCCUPATIONAL EMPLOYMENT IN 1996**- The number of UI
covered jobs in this occupation based on projections with
base year 1990. See footnote below.

** VALID CASES** - This is the number of employees for which the
respondents submitted data. For example, 1st line
supervisors (72002) had 20 firms report for 104 employees
(valid cases) who were financial managers. These valid
cases are then used to calculate statistics.

** MIN (MINIMUM)** - The smallest hourly rate for this occupation.

** MAX** **(MAXIMUM)**- The largest hourly rate for this occupation.

** MEAN** - A measure of central tendency. The sum of the values of
all observations divided by the number of observations. It
is also called the arithmetic average. If some values are
far removed from the others (outlying) they can
substantially influence the mean.

**MEDIAN** - A measure of central tendency which is not sensitive to
outlying values. It is the value above which and below
which half of the cases fall, the 50th percentile. For
example, if there are 5 cases, the median is the third
largest (or smallest) observation. When there is an even
number of observations, the median is the average of the 2
'middle' observations.

** 95% CI FOR MEAN** - A range of values that 95% of the time include
the (true) population value of the mean.

** 5% TRIM** - The arithmetic mean calculated when the largest 5% and
the smallest 5% of the cases have been eliminated. This is
desirable when there are cases with values much smaller or
larger than the rest. Eliminating these cases from the
computation of the mean results in a better estimate of
central tendency.

* Footnote: Based on numbers from the Occupational and Industry Projections for the State of
Wyoming: 1990 through 1996, Vol. 1 & 2. Base year 1990. Wyoming Department of
Employment, Employment Resource Division, Research & Planning. *

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