(
m
), which must be a real number > 0.
x
can be an
non-negative integer (SINGLE) or a list of integers
(LIST). The default is
mu
=1. The probability density
function (
) is:
7:Poissoncdf
Computes a cumulative probability at
x
for the
discrete Poisson distribution with the specified
mean
mu
, which must be a real number > 0.
x
can
be an non-negative integer (SINGLE) or a list of
integers (LIST). The default is
mu
=1.
Stats Results
Variables
1-Var or 2-Var
Definition
n
1-Var
Number of
x
or (
x
,
y
) data points.
v
Both
Mean of all
x
values.
w
2-Var
Mean of all
y
values.
Sx
Both
Sample standard deviation of
x
.
Sy
2-Var
Sample standard deviation of
y
.
s
x
Both
Population standard deviation of
x
.
s
y
2-Var
Population standard deviation of
y
.
G
x
or
G
x
2
Both
Sum of all
x
or
x
2
values.
G
y
or
G
y
2
2-Var
Sum of all
y
or
y
2
values.
G
xy
2-Var
Sum of (
x
Q
y
) for all
xy
pairs.
a
2-Var
Linear regression slope.
b
2-Var
Linear regression
y
-intercept.
r
2
or
r
2-Var
Correlation coefficient.
x
¢
2-Var
Uses
a
and
b
to calculate
predicted
x
value when you input
a
y
value.
y
¢
2-Var
Uses
a
and
b
to calculate
predicted
y
value when you input
an
x
value.
minX
or
maxX
Both
Minimum or maximum of
x
values.
Q1
1-Var
Median of the elements between
minX and Med (1st quartile).
Med
1-Var
Median of all data points.
Math Functions
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