26.07.2013 Views

G:\Statistiske grundbegreber-v8\s1v8-forside.wpd

G:\Statistiske grundbegreber-v8\s1v8-forside.wpd

G:\Statistiske grundbegreber-v8\s1v8-forside.wpd

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Tabel 7 Kumulerede sandsynligheder i Poissonfordelingen p( µ ) . P( X ≤ x)<br />

P( X x)<br />

Statistiske tabeller<br />

≤ i Poissonfordelingen p( µ )<br />

x µ 0.05 0.1 0.15 0.2 0.25 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7<br />

0<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

-<br />

0.951 0.905 0.861 0.819 0.779 0.741 0.670 0.607 0.549 0.497 0.449 0.407 0,368 0.333 0.301 0.273 0.247 0.223 0.202 0.183<br />

0.999 0.995 0.990 0.982 0.974 0.963 0.938 0.910 0.878 0.844 0.809 0.772 0.736 0.699 0.663 0.627 0.592 0.558 0.525 0.493<br />

1.000 1.000 0.999 0.999 0.998 0.996 0.992 0.986 0.977 0.966 0.953 0.937 0.920 0.900 0.879 0.857 0.833 0.809 0.783 0.757<br />

1.000 1.000 1.000 1.000 0.999 0.998 0.997 0.994 0.991 0.987 0.981 0.974 0.966 0.957 0.946 0.934 0.921 0.907<br />

1.000 1.000 1.000 0.999 0.999 0.998 0.996 0.995 0.992 0.989 0.986 0.981 0.976 0.970<br />

1.000 1.000 1.000 0.999 0.999 0.999 0.998 0.997 0.996 0.994 0.992<br />

1.000 1.000 1.000 1.000 0.999 0.999 0.999 0.998<br />

1.000 1.000 1.000 1.000<br />

P( X x)<br />

≤ i Poissonfordelingen p( µ )<br />

x µ 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7<br />

0<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

-<br />

0.165 0.150 0.135 0.123 0.111 0.100 0.091 0.082 0.074 0.067 0.061 0.055 0.050 0.045 0.041 0.037 0.033 0.030 0.027 0.025<br />

0.463 0.434 0.406 0.380 0.355 0.331 0.308 0.287 0.267 0.249 0.231 0.215 0.199 0.185 0.171 0.159 0.147 0.136 0.126 0.116<br />

0.731 0.704 0.677 0.650 0.623 0.596 0.570 0.544 0.518 0.494 0.469 0.446 0.423 0.401 0.380 0.359 0.340 0.321 0.303 0.285<br />

0.891 0.875 0.857 0.839 0.819 0.799 0.779 0.758 0.736 0.714 0.692 0.670 0.647 0.625 0.603 0.580 0.558 0.537 0.515 0.494<br />

0.964 0.956 0.947 0.938 0.928 0.916 0.904 0.891 0.877 0.863 0.848 0.832 0.815 0.798 0.781 0.763 0.744 0.725 0.706 0.687<br />

0.990 0.987 0.983 0.980 0.975 0.970 0.964 0.958 0.951 0.943 0.935 0.926 0.916 0.906 0.895 0.883 0.871 0.858 0.844 0.830<br />

0.997 0.997 0.995 0.994 0.993 0.991 0.988 0.986 0.983 0.979 0.976 0.971 0.966 0.961 0.955 0.949 0.942 0.935 0.927 0.918<br />

0.999 0.999 0.999 0.999 0.998 0.997 0.997 0.996 0.995 0.993 0.992 0.990 0.988 0.986 0.983 0.980 0.977 0.973 0.969 0.965<br />

1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.999 0.999 0.998 0.998 0.997 0.996 0.995 0.994 0.993 0.992 0.990 0.988 0.986<br />

1.000 1.000 1.000 1.000 0.999 0.999 0.999 0.999 0.999 0.998 0.998 0.997 0.997 0.996 0.995<br />

1.000 1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.999 0.999 0.998<br />

1.000 1.000 1.000 1.000 1.000<br />

164

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!