搜档网
当前位置:搜档网 › MSA Linearity 3rd

MSA Linearity 3rd

MSA Linearity 3rd
MSA Linearity 3rd

Johnson Electric Industrial Manufactory Ltd.

Description of Eqt. :Date :No. of Trials (m) :Eqt. Code No. :

User Dept. :No. of Parts (g) :

Characteristic to be test :Location :gm :

Unit of Measure :Part. :

Prepared by :

Data

Calculations

Part No

12

3

4

5

=#####

(Slop)

#DIV/0!1#DIV/0!2#DIV/0!=#####

(Intercept)

3#DIV/0!

T 4#DIV/0! Bias = b+ax =#######+ (

#DIV/0!x Reference Value )

R 5#DIV/0!

I 6#DIV/0! Upper & Lower bounds for 95% Confidence Interval A 7#DIV/0! Where :L 8#DIV/0!S

9#DIV/0!=

10#DIV/0!11#DIV/0!12

#DIV/0!

#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!#DIV/0!

0.000000

a =0.05

=

Linearity Plot ( Graphical Analysis )

Linearity Analysis

Notes

1/ The graphic and calculations are set up for 5 reference values and =#DIV/0!#DIV/0! 12 trials for analysis

2/ If t a is less than the value then the slop is zero =

#VALUE!#VALUE!

3/ If t b is less than the value then the intercept is zero

4/ Both t a and t b ( slop and intercept ) are zero then the linearity is acceptable.

Conclusion

Comment :#DIV/0!

Approved By :

Date :

Reference Value ( X )

#VALUE!

Part AVG.Bias ( Y )Range

#DIV/0!

#DIV/0!

Linearity Data Report (3rd Edition)

General Information

#DIV/0!00

0.10.2

0.30.40.5

0.60.7

0.8

0.91B i a s

Reference Values

Bias ( Y )

Individual bias

Regression

95% CI

?????-÷÷????è?-=

2

2)(1

1x gm x y x gm xy a x

a y

b -=úúú?

ù

êêê?

é

÷

÷?

???è?--+±+?--s x x x x gm t ax b i gm 2

122

021,20)()(1a

2

2

---=

???gm y x a y b y

s i

i i i

2

1,2a

--gm t []

?-=

2

)(/

x x

s a

t j

a ?-+=

2

2

)(//1x x x gm s b

t i b 21,2a --gm t 21,2a --gm t

相关主题