-E29-
CPK ( [CPK] )
Minimum (CPU, CPL) of the x values, where
CPU is upper spec. limit of capability
precision and CPL is lower spec. limit of
capability precision
CPK = Min ( CPU , CPL ) = CP ( 1 – Ca )
Paired-variable statistics / Regression calculations
Variables Meaning
n ( [ n ] )
Number of x-y pairs entered
x ( [2nd]+[ x ] )
y ( [2nd]+[ y ] )
Mean of the x values or y values
Sx ( [2nd]+[ Sx ] )
Sy ( [2nd]+[ Sy ] )
Sample standard deviation of x values or y
values
σ
x ( [2nd]+[
σ
x ] )
σ
y ( [2nd]+[
σ
y ] )
Population standard deviation of x values or
y values
¦
x ( [2nd]+[
¦
x ] )
¦
y ( [2nd]+[
¦
y ] )
Sum of all x values or y values
¦
x
2
( [2nd]+[
¦
x
2
])
¦
y
2
( [2nd]+[
¦
y
2
])
Sum of all x
2
values or y
2
values
¦
x y
Sum of ( x • y ) for all x-y pairs
CP ( [2nd]+[ CP ] ) Potential capability precision of the x values
CPK ( [ CPK ] )
Minimum (CPU, CPL) of the x values, where
CPU is upper spec. limit of capability
precision and CPL is lower spec. limit of
capability precision
CPK = Min ( CPU , CPL ) = CP ( 1 – Ca )
a ( [2nd]+[ a ] )
Regression formula constant term a
b ( [2nd]+[ b ] )
Regression formula regression coefficient b
r ( [2nd]+[ r ] )
Correlation coefficient r
x
’
([ x
’
] )
Estimated value of x
y
’
([ y
’
] )
Estimated value of y
