Ejerccicio De Informe Estadistico
Los siguientes datos son tomados de la cantidad de menores de defectos presentados en la fabricación de un producto en 270 días, realizar la tabla de distribución de frecuencias:
10 | 27 | 456 | 300 | 1000 | 876 | 43 | 1111 | 65 |
23 | 356 | 678 | 333 | 33 | 456 | 432 | 234 | 76 |
100 | 555 | 432 | 434 | 45 | 654 | 444 | 1132 | 98 |
10 | 321 | 23 | 456 |66 | 345 | 543 | 234 | 123 |
987 | 34 | 45 | 433 | 76 | 987 | 65 | 234 | 56 |
10 | 27 | 65 | 345 | 34 | 986 | 432 | 55 | 76 |
66 | 27 | 55 | 555 | 1000 | 45 | 654 | 789 | 567 |
10 | 27 | 789 | 666 | 56 | 56 | 345 | 345 | 543 |
10 | 678 | 345 | 231 | 345 | 54 | 432 | 321 | 456 |
87 | 765 | 321 | 345 | 25 | 76 | 345 | 23 | 555 |
10 | 34 | 23 | 321 | 25 | 34 | 543 | 43 | 678 |
10 | 56| 43 | 444 | 25 | 54 | 234 | 44 | 543 |
10 | 34 | 43 | 222 | 43 | 32 | 333 | 56 | 345 |
10 | 454 | 345 | 444 | 25 | 34 | 432 | 56 | 76 |
56 | 656 | 345 | 666 | 65 | 54 | 234 | 76 | 8 |
10 | 876 | 56 | 567 | 54 | 54 | 543 | 76 | 65 |
25 | 234 | 76 | 333 | 76 | 34 | 345 | 8 | 45 |
345 | 123 | 567 | 765 | 1000 | 65 | 1900 | 65 | 56 |
25 | 345 | 543 | 654 | 44 | 34 | 233 | 45 | 12 |25 | 234 | 456 | 345 | 56 | 54 | 233 | 56 | 34 |
25 | 432 | 555 | 222 | 56 | 43 | 333 | 12 | 43 |
43 | 456 | 678 | 456 | 76 | 23 | 456 | 12 | 34 |
25 | 654 | 543 | 222 | 76 | 43 | 233 | 43 | 44 |
45 | 222 | 345 | 567 | 543 | 54 | 234 | 44 | 543 |
65 | 456 | 321 | 222 | 456 | 56 | 123 | 54 | 444 |
25 | 555 | 345 | 456 | 555 | 22 | 345 | 23 | 456 |
123 | 456 | 654 | 345 | 678 | 45 | 223| 34 | 234 |
25 | 22 | 33 | 456 | 543 | 1000 | 321 | 34 | 23 |
22 | 43 | 45 | 65 | 345 | 23 | 23 | 43 | 43 |
65 | 55 | 44 | 22 | 76 | 34 | 123 | 34 | 43 |
a)Realizar la tabla de distribución de frecuencias para datos agrupados, teniendo un tamaño de 99.
b)Halle las medidas de tendencia central y medidas de dispersión para datos agrupados de los datos suministrados.
R- dato menor8----------------dato mayor 1900
defectos | f. absoluta | f. relativa | f.acumulada | f. relativaacumulada | % | X | F.X |
8-106 | 138 | 0.511 | 138 | 0.511 | 51.1 | 57 | 7866 |
107-205 | 5 | 0.018 | 143 | 0.529 | 1.8 | 156 | 780 |
206-304 | 20 | 0.074 | 163 | 0.603 | 7.4 | 255 | 5100 |
305-403 | 31 |0.114 | 194 | 0.717 | 11.4 | 354 | 10974 |
404-502 | 27 | 0.1 | 221 | 0.817 | 10 | 453 | 12231 |
503-601 | 20 | 0.074 | 241 | 0.891 | 7.4 | 552 | 11040 |
602-700 | 13 | 0.048 | 254 | 0.939 | 4.8 | 651 | 8463 |
701-799 | 4 | 0.014 | 258 | 0.953 | 1.4 | 750 | 3000 |
800-898 | 2 | 0.007 | 260 | 0.96 | 0.7 | 849 | 1698 |
899-997 | 3 | 0.011 | 263 | 0.971 | 1.1 | 948 | 2844 |
998-1096 |4 | 0.014 | 267 | 0.985 | 1.4 | 1047 | 4188 |
1097-1195 | 2 | 0.007 | 269 | 0.992 | 0.7 | 1146 | 2292 |
1196-1294 | 0 | 0 | 269 | 0.992 | 0 | 1245 | 0 |
1295-1393 | 0 | 0 | 269 | 0.992 | 0 | 1344 | 0 |
1394-1492 | 0 | 0 | 269 | 0.992 | 0 | 1443 | 0 |
1493-1591 | 0 | 0 | 269 | 0.992 | 0 | 1542 | 0 |
1592-1690 | 0 | 0 | 269 | 0.992 | 0 | 1641 | 0 |
1691-1789 | 0 | 0 | 269 | 0.992 | 0 |1740 | 0 |
1790-1888 | 0 | 0 | 269 | 0.992 | 0 | 1839 | 0 |
1889-1987 | 1 | 0.003 | 270 | 0.995 | 0.3 | 1938 | 1938 |
270 0.995 72414
Moda Md=57
Media;_ _
X= 72414 X= 268.2
270
Mediana: 270=135, f=5, L=8, C=99, J=135
2
X= 8+135x99 X=104.84
138
Deviación media=59941.2 = DM=222.004
270
Varianza= S2= ∑(x-x)2 = 20633065 = S2 =76702.84
n-1 269
Desviación típica = S=√∑(x-x)2 = √76702.84 = S=276.95
n-1
Ix-xI | f.Ix-xI | (x-x)2 | f.(x-x)2 | Ix-xI | f.Ix-xI | X2 . f | X3 . f |
211.2 |...
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