1 parte
DESCRIPTION
graficas de temperaturaTRANSCRIPT
TRATAMIENTO N°1 : Determinar el tiempo de vida útil y los limites de confianza , atributo olor
TIEMPO (DIAS) T4 X^2 Y^2 XY X-Xp Y-Yp (X-Xp)^2 (Y-Yp)^2 (X-Xp)(Y-Yp)
0 9 0 81 0 -90 3.8923 8100 15.1501 -350.30769215 8.2 225 67.24 123 -75 3.0923 5625 9.5624 -231.92307730 7.2 900 51.84 216 -60 2.0923 3600 4.3778 -125.53846245 6.2 2025 38.44 279 -45 1.0923 2025 1.1931 -49.15384660 5.8 3600 33.64 348 -30 0.6923 900 0.4793 -20.76923175 5.4 5625 29.16 405 -15 0.2923 225 0.0854 -4.38461590 4.6 8100 21.16 414 0 -0.5077 0 0.2578 0
105 4.4 11025 19.36 462 15 -0.7077 225 0.5008 -10.6153846120 4.2 14400 17.64 504 30 -0.9077 900 0.8239 -27.230769135 3.8 18225 14.44 513 45 -1.3077 2025 1.7101 -58.846154150 3 22500 9 450 60 -2.1077 3600 4.4424 -126.461538165 2.6 27225 6.76 429 75 -2.5077 5625 6.2885 -188.076923180 2 32400 4 360 90 -3.1077 8100 9.6578 -279.692308
SUMA 1170 66.4 146250 393.68 4503 1080 40950 54.5292 -1473.0PROMEDIO 90 5.108 Sxx Syy Sxy
TRATAMIENTO 2: Determinar el tiempo de vida útil y los limites de confianza , atributo olor
TIEMPO (DIAS) T2 X^2 Y^2 XY X-Xp Y-Yp (X-Xp)^2 (Y-Yp)^2 (X-Xp)(Y-Yp)
0 9 0 81 0 -90 2.1385 8100 4.5730 -192.46153815 8.6 225 73.96 129 -75 1.7385 5625 3.0222 -130.38461530 8.2 900 67.24 246 -60 1.3385 3600 1.7915 -80.30769245 7.8 2025 60.84 351 -45 0.9385 2025 0.8807 -42.23076960 7.4 3600 54.76 444 -30 0.5385 900 0.2899 -16.15384675 7 5625 49 525 -15 0.1385 225 0.0192 -2.07692390 6.6 8100 43.56 594 0 -0.2615 0 0.0684 0
105 6.4 11025 40.96 672 15 -0.4615 225 0.2130 -6.9230769120 6 14400 36 720 30 -0.8615 900 0.7422 -25.846154135 5.8 18225 33.64 783 45 -1.0615 2025 1.1269 -47.769231150 5.8 22500 33.64 870 60 -1.0615 3600 1.1269 -63.692308165 5.4 27225 29.16 891 75 -1.4615 5625 2.1361 -109.615385180 5.2 32400 27.04 936 90 -1.6615 8100 2.7607 -149.538462
SUMA 1170 89.2 146250 630.8 7161 1080 40950 18.7508 -867.0PROMEDIO 90 6.862 Sxx Syy Sxy
TRATAMIENTO 3 : Determinar el tiempo de vida útil y los limites de confianza , atributo olor
TIEMPO (DIAS) T3 X^2 Y^2 XY X-Xp Y-Yp (X-Xp)^2 (Y-Yp)^2 (X-Xp)(Y-Yp)
0 9 0 81 0 -90 1.4615 8100 2.1361 -131.53846215 8.4 225 70.56 126 -75 0.8615 5625 0.7422 -64.61538530 8.2 900 67.24 246 -60 0.6615 3600 0.4376 -39.69230845 8 2025 64 360 -45 0.4615 2025 0.2130 -20.76923160 7.8 3600 60.84 468 -30 0.2615 900 0.0684 -7.84615475 7.6 5625 57.76 570 -15 0.0615 225 0.0038 -0.92307790 7.6 8100 57.76 684 0 0.0615 0 0.0038 0
105 7.2 11025 51.84 756 15 -0.3385 225 0.1146 -5.0769231120 7 14400 49 840 30 -0.5385 900 0.2899 -16.153846135 7 18225 49 945 45 -0.5385 2025 0.2899 -24.230769150 6.8 22500 46.24 1020 60 -0.7385 3600 0.5453 -44.307692165 6.8 27225 46.24 1122 75 -0.7385 5625 0.5453 -55.384615180 6.6 32400 43.56 1188 90 -0.9385 8100 0.8807 -84.461538
SUMA 1170 98 146250 745.04 8325 1080 40950 6.2708 -495.0PROMEDIO 90 7.538 Sxx Syy Sxy
TRATAMIENTO 4 : Determinar el tiempo de vida útil y los limites de confianza , atributo olor
TIEMPO (DIAS) T4 X^2 Y^2 XY X-Xp Y-Yp (X-Xp)^2 (Y-Yp)^2 (X-Xp)(Y-Yp)
0 9 0 81 0 -90 3.8923 8100 15.1501 -350.30769215 8.2 225 67.24 123 -75 3.0923 5625 9.5624 -231.92307730 7.2 900 51.84 216 -60 2.0923 3600 4.3778 -125.53846245 6.2 2025 38.44 279 -45 1.0923 2025 1.1931 -49.15384660 5.8 3600 33.64 348 -30 0.6923 900 0.4793 -20.76923175 5.4 5625 29.16 405 -15 0.2923 225 0.0854 -4.38461590 4.6 8100 21.16 414 0 -0.5077 0 0.2578 0
105 4.4 11025 19.36 462 15 -0.7077 225 0.5008 -10.6153846120 4.2 14400 17.64 504 30 -0.9077 900 0.8239 -27.230769135 3.8 18225 14.44 513 45 -1.3077 2025 1.7101 -58.846154150 3 22500 9 450 60 -2.1077 3600 4.4424 -126.461538165 2.6 27225 6.76 429 75 -2.5077 5625 6.2885 -188.076923180 2 32400 4 360 90 -3.1077 8100 9.6578 -279.692308
SUMA 1170 66.4 146250 393.68 4503 1080 40950 54.5292 -1473.0PROMEDIO 90 5.108 Sxx Syy Sxy
GRAFICA DE LIMITE DE CONFIANZA TRATAMIENTO 4 :
0 50 100 150 200 250 300
-4
-2
0
2
4
6
8
10
f(x) = − 0.035971 x + 8.345055R² = 1 EXPERIMENTAL
Linear (EXPERIMENTAL)LIMITE DE CONTROL SUPERIORLinear (LIMITE DE CONTROL SUPERIOR)Linear (LIMITE DE CONTROL SUPERIOR)LIMITE DE CONTROL INFERIORLinear (LIMITE DE CONTROL INFERIOR)
GRAFICA DE LIMITE DE CONFIANZA TRATAMIENTO 3 :
0 50 100 150 200 250 3005
5.5
6
6.5
7
7.5
8
8.5
9
9.5
10
f(x) = − 0.012088 x + 8.626374R² = 1
EXPERIMENTAL
Linear (EXPERIMENTAL)
LIMITE DE CONTROL SU-PERIOR
Linear (LIMITE DE CONTROL SUPERIOR)
LIMITE DE CONTROL IN-FERIOR
Linear (LIMITE DE CONTROL INFERIOR)
Linear (LIMITE DE CONTROL INFERIOR)
Linear (LIMITE DE CONTROL INFERIOR)
GRAFICA DE LIMITE DE CONFIANZA TRATAMIENTO 2 :
0 50 100 150 200 250 3001
2
3
4
5
6
7
8
9
10
f(x) = − 0.021172 x + 8.767033R² = 1
EXPERIMENTAL
Linear (EXPERIMENTAL)
LIMITE DE CONTROL SU-PERIOR
Linear (LIMITE DE CONTROL SUPERIOR)
LIMITE DE CONTROL INFERIOR
Linear (LIMITE DE CONTROL INFERIOR)
GRAFICA DE LIMITE DE CONFIANZA TRATAMIENTO 1 :
-35 15 65 115 165 215 265 3155
5.5
6
6.5
7
7.5
8
8.5
9
9.5
R² = 0.996171072164366EXPERIMENTAL
Linear (EXPER-IMENTAL)
LIMITE DE CONTROL SU-PERIOR
Linear (LIMITE DE CONTROL SUPERIOR)
LIMITE DE CONTROL IN-FERIOR
Linear (LIMITE DE CONTROL INFERIOR)