Sx ( [2nd]+[ Sx ] )
Sample standard deviation of x values or y
values
Sy ( [2nd]+[ Sy ] )
σ x ( [2nd]+[ σ x ] )
Population standard deviation of x values or
y values
σ y ( [2nd]+[ σ y ] )
∑ x ( [2nd]+[ ∑ x ] )
Sum of all x values or y values
∑ y ( [2nd]+[ ∑ y ] )
2
∑ x
( [2nd]+[ ∑ x
])
2
2
Sum of all x
values or y
2
∑ y
( [2nd]+[ ∑ y
])
2
∑ x y
Sum of ( x • y ) for all x-y pairs
CP ( [2nd]+[ CP ] ) Potential capability precision of the x values
Minimum (CPU, CPL) of the x values, where
CPU is upper spec. limit of capability
CPK ( [ CPK ] )
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
You also can add a new data anytime. The unit automatically
recalculates statistics each time you press [ DATA ] and enter a new
data value.
Enter data : USL = 95, LSL = 70, DATA 1 = 75, DATA 2 = 85, DATA
3 = 90, DATA 4 = 82, DATA 5 = 77, then find out n = 5,
Sx = 6.05805249234, σx = 5.41848687366, CP = 0.76897236513,
and CPK = 0.72590991268
[ MODE ] 2
[=] [ DATA ] 75 [ DATA ] 85 [ DATA ] 90
[ DATA ] 82 [ DATA ] 77
-E29-
File name : CBM_SR-281N_IB_English_black_v09330.doc
Date: 2009/3/30
Trimmed Size : 140 x 75 mm
2
values
= 81.8,
DEG
STAT
1–
V A R
L I N
L O G
DEG
STAT
D A T A
5
7 7
SCALE 1 : 1