tugas mandiri kemometri

Tugas Mandiri Kemometri Nama:Orryza Mutiara IllahiNIM:11612011Data A (Data berpasangan)300 mL600 mL

7.24.8

4.54.0

4.14.7

4.13.7

5.66.3

7.18.0

7.38.5

7.74.4

32.030.0

29.028.0

22.019.0

23.026.0

27.028.0

Soal No. 1 Data A (Data berpasangan) Mann-Whitney Test and CI: 300 mL, 600 mL

N Median

300 mL 13 7.30600 mL 13 8.00

Point estimate for ETA1-ETA2 is 0.4095.4 Percent CI for ETA1-ETA2 is (-5.00,4.00)W = 180.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.8375The test is significant at 0.8374 (adjusted for ties)

Sign CI: 300 mL, 600 mL

Sign confidence interval for median

Confidence Achieved Interval N Median Confidence Lower Upper Position300 mL 13 7.30 0.9077 5.60 23.00 4 0.9500 5.25 24.26 NLI 0.9775 4.50 27.00 3600 mL 13 8.00 0.9077 4.70 26.00 4 0.9500 4.61 26.63 NLI 0.9775 4.40 28.00 3

Regression Analysis: 300 mL versus 600 mL

The regression equation is300 mL = 1.01 600 mL

Predictor Coef SE Coef T PNoconstant600 mL 1.01163 0.03104 32.59 0.000

S = 1.90722

Analysis of Variance

Source DF SS MS F PRegression 1 3863.4 3863.4 1062.11 0.000Residual Error 12 43.6 3.6Total 13 3907.1

Unusual Observations

Obs 600 mL 300 mL Fit SE Fit Residual St Resid 9 30.0 32.000 30.349 0.931 1.651 0.99 X

X denotes an observation whose X value gives it large leverage.

DATA B (Data independen)Analyst AAnalyst B

1.601.72

1.741.75

1.721.55

1.851.67

1.762.05

1.721.51

1.781.70

One-Sample T: Analyst A, Analyst B

Variable N Mean StDev SE Mean 95% CIAnalyst A 7 1.7386 0.0758 0.0287 (1.6685, 1.8087)Analyst B 7 1.7071 0.1754 0.0663 (1.5449, 1.8693)

Wilcoxon Signed Rank CI: Analyst A

Confidence Estimated Achieved Interval N Median Confidence Lower UpperAnalyst A 7 1.740 94.8 1.660 1.805

Mann-Whitney Test and CI: Analyst A, Analyst B

N MedianAnalyst A 7 1.7400Analyst B 7 1.7000

Point estimate for ETA1-ETA2 is 0.050095.9 Percent CI for ETA1-ETA2 is (-0.1200,0.2100)W = 62.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.2502The test is significant at 0.2481 (adjusted for ties)

DATA CReplicateControl1.03.210.032.0

11.01701.15700.99800.83700.7150

20.74500.91400.79300.93500.9070

30.86200.99201.02100.83901.0440

*0.87501.02100.93700.88200.8890

*0.01860.01540.01580.00310.0273

Kruskal-Wallis Test: Control versus 1.0

Kruskal-Wallis Test on Control

Ave1.0 N Median Rank Z0.0154 1 0.01860 1.0 -1.410.9140 1 0.74500 2.0 -0.710.9920 1 0.86200 3.0 0.001.0210 1 0.87500 4.0 0.711.1570 1 1.01700 5.0 1.41Overall 5 3.0

H = 4.00 DF = 4 P = 0.406

* NOTE * One or more small samples

Runs Test: Control, 1.0, 3.2, 10.0, 32.0

Runs test for Control

Runs above and below K = 0.70352

The observed number of runs = 2The expected number of runs = 2.64 observations above K, 1 below* N is small, so the following approximation may be invalid.P-value = 0.221

Runs test for 1.0



Runs test for 3.2



Runs test for 10.0



Runs test for 32.0



Kruskal-Wallis Test: Control versus 1.0

Kruskal-Wallis Test on Control

Ave1.0 N Median Rank Z0.0154 1 0.01860 1.0 -1.410.9140 1 0.74500 2.0 -0.710.9920 1 0.86200 3.0 0.001.0210 1 0.87500 4.0 0.711.1570 1 1.01700 5.0 1.41Overall 5 3.0

H = 4.00 DF = 4 P = 0.406

* NOTE * One or more small samples

Regression Analysis: Control versus 1.0, 3.2, 10.0, 32.0

The regression equation isControl = 0.00830 + 0.565 1.0 + 0.473 3.2 + 0.0484 10.0 - 0.221 32.0

SEPredictor Coef Coef T PConstant 0.00830102 * * *1.0 0.565490 * * *3.2 0.472789 * * *10.0 0.0483901 * * *32.0 -0.220866 * * *

S = *


Source DF SS MS F PRegression 4 0.6236270 0.1559068 * *Residual Error 0 * *Total 4 0.6236270

Source DF Seq SS1.0 1 0.62135523.2 1 0.000118610.0 1 0.002147032.0 1 0.0000063

General Regression Analysis: Control versus 1.0, 3.2, 10.0, 32.0

* NOTE * 10.0 cannot be estimated and has been removed.* NOTE * 32.0 cannot be estimated and has been removed.* NOTE * It may be possible to include removed terms by lowering the tolerance.

Regression Equation

Control = -0.282093 + 0.964911 1.0 + 0.183057 3.2

Coefficients

SETerm Coef Coef T PConstant -0.282093 * * *1.0 0.964911 * * *3.2 0.183057 * * *

Summary of Model

S = * R-Sq = 100.00% R-Sq(adj) = *%PRESS = * R-Sq(pred) = *%


Source DF Seq SS Adj SS Adj MS F PRegression 2 0.0372327 0.0372327 0.0186163 * * 1.0 1 0.0366690 0.0152992 0.0152992 * * 3.2 1 0.0005636 0.0005636 0.0005636 * *Error 0 0.0000000 0.0000000Total 2 0.0372327

Fits and Diagnostics for Unusual Observations

No unusual observations


* NOTE * 32.0 cannot be estimated and has been removed.* NOTE * It may be possible to include removed terms by lowering the tolerance.

Regression Equation

Control = 0.950382 1.0 + 0.09752 3.2 - 0.214955 10.0

Coefficients

SETerm Coef Coef T P1.0 0.950382 * * *3.2 0.097520 * * *10.0 -0.214955 * * *

Summary of Model

S = * R-Sq = 100.00% R-Sq(adj) = *%PRESS = * R-Sq(pred) = *%


Source DF Seq SS Adj SS Adj MS F PRegression 3 2.33236 2.33236 0.777453 * * 1.0 1 2.33012 0.01543 0.015434 * * 3.2 1 0.00011 0.00017 0.000174 * * 10.0 1 0.00213 0.00213 0.002128 * *Error 0 0.00000 0.00000Total 3 2.33236

Fits and Diagnostics for Unusual Observations

No unusual observations


Regression Equation

Control = 1.06174 1.0 - 0.0118571 3.2 - 0.292211 10.0 + 0.0641479 32.0

Coefficients

Term Coef SE Coef T P1.0 1.06174 0.241884 4.38944 0.1433.2 -0.01186 0.238384 -0.04974 0.96810.0 -0.29221 0.168341 -1.73583 0.33332.0 0.06415 0.138343 0.46369 0.724

Summary of Model

S = 0.00359178 R-Sq = 100.00% R-Sq(adj) = 100.00%PRESS = 0.000657959 R-Sq(pred) = 99.98%


Source DF Seq SS Adj SS Adj MS F PRegression 4 3.09832 3.09832 0.774579 60040.6 0.003061 1.0 1 3.09605 0.00025 0.000249 19.3 0.142601 3.2 1 0.00012 0.00000 0.000000 0.0 0.968361 10.0 1 0.00214 0.00004 0.000039 3.0 0.332732 32.0 1 0.00000 0.00000 0.000003 0.2 0.723594Error 1 0.00001 0.00001 0.000013Total 5 3.09833

Fits and Diagnostics for Unusual ObservationsNo unusual observations

tugas mandiri kemometri

Documents