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Code
|
Display
|
Definition
|
Copy
|
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average
|
Average
|
The
[mean](https://en.wikipedia.org/wiki/Arithmetic_mean)
of
N
measurements
over
the
stated
period.
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|
maximum
|
Maximum
|
The
[maximum](https://en.wikipedia.org/wiki/Maximal_element)
value
of
N
measurements
over
the
stated
period.
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|
minimum
|
Minimum
|
The
[minimum](https://en.wikipedia.org/wiki/Minimal_element)
value
of
N
measurements
over
the
stated
period.
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|
count
|
Count
|
The
[number]
of
valid
measurements
over
the
stated
period
that
contributed
to
the
other
statistical
outputs.
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total-count
|
Total
Count
|
The
total
[number]
of
valid
measurements
over
the
stated
period,
including
observations
that
were
ignored
because
they
did
not
contain
valid
result
values.
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median
|
Median
|
The
[median](https://en.wikipedia.org/wiki/Median)
of
N
measurements
over
the
stated
period.
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|
std-dev
|
Standard
Deviation
|
The
[standard
deviation](https://en.wikipedia.org/wiki/Standard_deviation)
of
N
measurements
over
the
stated
period.
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|
sum
|
Sum
|
The
[sum](https://en.wikipedia.org/wiki/Summation)
of
N
measurements
over
the
stated
period.
|
 |
|
variance
|
Variance
|
The
[variance](https://en.wikipedia.org/wiki/Variance)
of
N
measurements
over
the
stated
period.
|
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|
20-percent
|
20th
Percentile
|
The
20th
[Percentile](https://en.wikipedia.org/wiki/Percentile)
of
N
measurements
over
the
stated
period.
|
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|
80-percent
|
80th
Percentile
|
The
80th
[Percentile](https://en.wikipedia.org/wiki/Percentile)
of
N
measurements
over
the
stated
period.
|
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|
4-lower
|
Lower
Quartile
|
The
lower
[Quartile](https://en.wikipedia.org/wiki/Quartile)
Boundary
of
N
measurements
over
the
stated
period.
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|
4-upper
|
Upper
Quartile
|
The
upper
[Quartile](https://en.wikipedia.org/wiki/Quartile)
Boundary
of
N
measurements
over
the
stated
period.
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4-dev
|
Quartile
Deviation
|
The
difference
between
the
upper
and
lower
[Quartiles](https://en.wikipedia.org/wiki/Quartile)
is
called
the
Interquartile
range.
(IQR
=
Q3-Q1)
Quartile
deviation
or
Semi-interquartile
range
is
one-half
the
difference
between
the
first
and
the
third
quartiles.
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5-1
|
1st
Quintile
|
The
lowest
of
four
values
that
divide
the
N
measurements
into
a
frequency
distribution
of
five
classes
with
each
containing
one
fifth
of
the
total
population.
|
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|
5-2
|
2nd
Quintile
|
The
second
of
four
values
that
divide
the
N
measurements
into
a
frequency
distribution
of
five
classes
with
each
containing
one
fifth
of
the
total
population.
|
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|
5-3
|
3rd
Quintile
|
The
third
of
four
values
that
divide
the
N
measurements
into
a
frequency
distribution
of
five
classes
with
each
containing
one
fifth
of
the
total
population.
|
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|
5-4
|
4th
Quintile
|
The
fourth
of
four
values
that
divide
the
N
measurements
into
a
frequency
distribution
of
five
classes
with
each
containing
one
fifth
of
the
total
population.
|
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|
skew
|
Skew
|
Skewness
is
a
measure
of
the
asymmetry
of
the
probability
distribution
of
a
real-valued
random
variable
about
its
mean.
The
skewness
value
can
be
positive
or
negative,
or
even
undefined.
Source:
[Wikipedia](https://en.wikipedia.org/wiki/Skewness).
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|
kurtosis
|
Kurtosis
|
Kurtosis
is
a
measure
of
the
"tailedness"
of
the
probability
distribution
of
a
real-valued
random
variable.
Source:
[Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).
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|
regression
|
Regression
|
Linear
regression
is
an
approach
for
modeling
two-dimensional
sample
points
with
one
independent
variable
and
one
dependent
variable
(conventionally,
the
x
and
y
coordinates
in
a
Cartesian
coordinate
system)
and
finds
a
linear
function
(a
non-vertical
straight
line)
that,
as
accurately
as
possible,
predicts
the
dependent
variable
values
as
a
function
of
the
independent
variables.
Source:
[Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression)
This
Statistic
code
will
return
both
a
gradient
and
an
intercept
value.
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