7:Poissoncdf
Stats Results
Variables
n
v
w
Sx
Sy
s x
s y
2
G x or G x
2
G y or G y
G xy
a
b
2
or r
r
¢
x
y
¢
or maxX
minX
Q1
Med
(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 ( pdf ) is:
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.
1-Var or 2-Var
1-Var
Both
2-Var
Both
2-Var
Both
2-Var
Both
2-Var
2-Var
2-Var
2-Var
2-Var
2-Var
2-Var
Both
1-Var
1-Var
Definition
Number of x or ( x , y ) data points.
Mean of all x values.
Mean of all y values.
Sample standard deviation of x .
Sample standard deviation of y .
Population standard deviation of
x .
Population standard deviation of
y .
2
Sum of all x or x
2
Sum of all y or y
Sum of ( x Q y ) for all xy pairs.
Linear regression slope.
Linear regression y -intercept.
Correlation coefficient.
Uses a and b to calculate
predicted x value when you input
a y value.
Uses a and b to calculate
predicted y value when you input
an x value.
Minimum or maximum of x
values.
Median of the elements between
minX and Med (1st quartile).
Median of all data points.
values.
values.
Math Functions
33
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