P&K 3950
Calibration -CO- paint
Input data
| Temperatur |
CO-Concentration |
Status |
B |
|---|
| mA |
mg/µ |
[] |
[] |
|---|
| 16.879 |
56.3 |
normal |
Normal operation |
| 16.879 |
56.4 |
test |
|
| 16.800 |
92.6 |
test |
|
| 16.791 |
95.2 |
test |
|
| 16.716 |
153.8 |
test |
|
| 16.704 |
165.1 |
test |
|
| 16.572 |
299.7 |
test |
|
| 16.528 |
339.4 |
test |
|
| 16.477 |
461.1 |
test |
|
| 16.438 |
543.6 |
test |
|
| 16.430 |
585.3 |
test |
|
| 16.349 |
735.5 |
test |
|
| 16.348 |
698.3 |
test |
|
| 16.350 |
696.2 |
disabled |
|
| 16.258 |
850.6 |
test |
|
| 16.260 |
881.3 |
peak |
|
Characteristics
Function: y'=A*x²+B*x+C
| Coefficients |
|
| 1502 |
| -5.112E+04 | | 4.350E+05 |
|
| Scatter | s | 25.61 |
| Determination coefficient | | 0.9937 |
| Average value |
|
|
| Calculated values |
|
|
List of function values
| x | y' | Confidence interval | Tolerance interval | n' |
|---|
| | | y1 | y2 | y3 | y4 | |
|---|
| 15.000 | 6142.2 | 5136.5 | 7148.0 | | | 0.0031 |
| 15.182 | 5089.4 | 4305.3 | 5873.5 | | | 0.0051 |
| 15.364 | 4135.8 | 3546.1 | 4725.4 | | | 0.0090 |
| 15.545 | 3281.5 | 2859.1 | 3703.9 | | | 0.0175 |
| 15.727 | 2526.4 | 2244.0 | 2808.9 | | | 0.0391 |
| 15.909 | 1870.6 | 1700.8 | 2040.5 | | | 0.1080 |
| 16.091 | 1314.1 | 1229.0 | 1399.2 | | | 0.4301 |
| 16.273 | 856.87 | 825.99 | 887.75 | 770.51 | 943.23 | 3.2685 |
| 16.454 | 498.89 | 478.41 | 519.37 | 417.93 | 579.85 | 7.4309 |
| 16.636 | 240.18 | 217.45 | 262.90 | 158.17 | 322.18 | 6.0345 |
| 16.818 | 80.728 | 57.278 | 104.18 | -1.632 | 163.09 | 5.6669 |
| 17.000 | 20.546 | -44.70 | 85.798 | | | 0.7319 |
Confidence interval:
Valid for 95.0 percentage statistical certainty with table value t(12)= 2.1800
Tolerance interval:
Valid for 95.0 percentage statistical certainty with table value v(12)= 1.5161 and a share (1-gamma)=95.0 % of the entire collective
Function comparison (significance test)
Coefficients and scatter of the function:
| Statement | Function | s | A | B | C |
|---|
| 1 | y'=B*x+C | 61.67 | | -1338 | 2.255E+04 |
| 2 | y'=A*x²+B*x+C | 25.61 | 1502 | -5.112E+04 | 4.350E+05 |
| 3 | y'=B*ln(x)+C | 60.28 | | -2.219E+04 | 6.268E+04 |
| 4 | y'=A*ln²(x)+B*ln(x)+C | 25.92 | 3.995E+05 | -2.265E+06 | 3.212E+06 |
| 5 | y'=B*exp(x)+C | 84.95 | | -8.195E-05 | 1707 |
| 6 | y'=A*exp²(x)+B*exp(x)+C | 23.01 | 8.735E-12 | -3.693E-04 | 3968 |
The quadratic regression formula can be assumed as better than the linear one.
| Test value: | 63.388 |
| Table value F(12): | 4.7522 |
| Statistical certainty: | 95% |
Only statement 1 and 2 are compared.
Characteristics / limits
| Name |
Factor |
Type |
Y-value |
Y(Type) |
delta Y |
X |
|---|
| G |
1 |
-- |
200 |
|
|
16.672 |
| G+V |
1 |
+V |
200 |
222.32 |
22.321 |
16.652 |
| 1.2G+V |
1.2 |
+V |
240 |
263.10 |
23.102 |
16.616 |
| 2G+T |
2 |
+T |
400 |
481.19 |
81.189 |
16.464 |
| 5%G |
0.05 |
-- |
10 |
|
|
|
| 10%G |
0.1 |
-- |
20 |
|
|
|