Bolivar Gavilanez Ejercicio 1
10
LASE 0.44 0.53 2.04 2 0.3 2.54 0.52 2.02 2.8 0.04 1.35 8.32 1.95 0.1 1.42 0.46 5.55 3.93 1.07 2.26 0.67 1.12 0.26 4.57 1.63 1.46 1.08 2.06 0.83 2.44 2.11 3.15 i 1 0.040 0.040 2 0.070 0.110 3 0.100 0.210 4 0.120 0.330 5 0.210 0.540 6 0.260 0.800 7 0.300 1.100 8 0.440 1.540 9 0.460 2.000 10 0.520 2.520 11 0.530 3.050 12 0.640 3.690 13 0.670 4.360 14 0.760 5.120 15 0.830 5.950 16 1.070 7.020 17 1.080 8.100 18 1.090 9.190 19 1.120 10.310 20 1.350 11.660 21 1.420 13.080 22 1.460 14.540 23 1.530 16.070 24 1.630 17.700 25 1.890 19.590 26 1.950 21.540 En un proceso de llegada de entidades a un sistemas se han registrado int siguientes.¿ Contraste la hipotesis SUMATORIA ACUMULADA
-
Upload
evelyn-armendariz -
Category
Documents
-
view
213 -
download
0
description
xkjvuszdnvxmcbvcvb
Transcript of Bolivar Gavilanez Ejercicio 1
Hoja1
TRABAJO DE CLASE Nombre: Bolivar Gavilanez AcostaEn un proceso de llegada de entidades a un sistemas se han registrado intervalos de tiempo entre llegadas durantes un peridodo de 100 minutos las obsevaciones registradas han sido las siguientes. Contraste la hipotesis de que los intervalos entre llegada esten distribuidos exponencialmete?
0.440.532.0420.32.540.522.021.891.530.212.80.041.358.321.950.11.420.460.071.090.765.553.931.072.260.671.120.264.575.370.123.191.631.461.082.060.832.442.113.152.96.580.64
iSUMATORIA ACUMULADASUMATORIA ACUMULADA/100i/ n(i-1)/n(i/n)- riri-(i-1/n)10.0400.0400.000400.02270.00000.02230.000420.0700.1100.001100.04550.02270.0444-0.021630.1000.2100.002100.06820.04550.0661-0.043440.1200.3300.003300.09090.06820.0876-0.064950.2100.5400.005400.11360.09090.1082-0.085560.2600.8000.008000.13640.11360.1284-0.105670.3001.1000.011000.15910.13640.1481-0.125480.4401.5400.015400.18180.15910.1664-0.143790.4602.0000.020000.20450.18180.1845-0.1618100.5202.5200.025200.22730.20450.2021-0.1793110.5303.0500.030500.25000.22730.2195-0.1968120.6403.6900.036900.27270.25000.2358-0.2131130.6704.3600.043600.29550.27270.2519-0.2291140.7605.1200.051200.31820.29550.2670-0.2443150.8305.9500.059500.34090.31820.2814-0.2587161.0707.0200.070200.36360.34090.2934-0.2707171.0808.1000.081000.38640.36360.3054-0.2826181.0909.1900.091900.40910.38640.3172-0.2945191.12010.3100.103100.43180.40910.3287-0.3060201.35011.6600.116600.45450.43180.3379-0.3152211.42013.0800.130800.47730.45450.3465-0.3237221.46014.5400.145400.50000.47730.3546-0.3319231.53016.0700.160700.52270.50000.3620-0.3393241.63017.7000.177000.54550.52270.3685-0.3457251.89019.5900.195900.56820.54550.3723-0.3496261.95021.5400.215400.59090.56820.3755-0.3528272.00023.5400.235400.61360.59090.3782-0.3555282.02025.5600.255600.63640.61360.3808-0.3580292.04027.6000.276000.65910.63640.3831-0.3604302.06029.6600.296600.68180.65910.3852-0.3625312.11031.7700.317700.70450.68180.3868-0.3641322.26034.0300.340300.72730.70450.3870-0.3642332.44036.4700.364700.75000.72730.3853-0.3626342.54039.0100.390100.77270.75000.3826-0.3599352.80041.8100.418100.79550.77270.3774-0.3546362.90044.7100.447100.81820.79550.3711-0.3484373.15047.8600.478600.84090.81820.3623-0.3396383.19051.0500.510500.86360.84090.3531-0.3304393.93054.9800.549800.88640.86360.3366-0.3138404.57059.5500.595500.90910.88640.3136-0.2909415.37064.9200.649200.93180.90910.2826-0.2599425.55070.4700.704700.95450.93180.2498-0.2271436.58077.0500.770500.97730.95450.2068-0.1840448.32085.3700.853701.00000.97730.1463-0.1236ri0.387-0.36420.20056N44D+D-En tabla
RespuestaDebido a que los valores Dmax calculado es 0,387 es mayor que el establecido en la tabla 0, 20056 se puede decir que los datos no tienen una distribucion exponencial
