Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
<strong>1.</strong>5. OTHER DEFINITIONS OF PROBABILITY<br />
Result<br />
n “head” “tail”<br />
10 0.700 0.300<br />
20 0.550 0.450<br />
30 0.467 0.533<br />
100 0.470 0.530<br />
1000 0.491 0.509<br />
10000 0.503 0.497<br />
100000 0.500 0.500<br />
Lanzamiento de una moneda<br />
<strong>1.</strong>000<br />
0.900<br />
0.800<br />
0.700<br />
0.600<br />
Frec. rel.<br />
0.500<br />
0.400<br />
cara<br />
cruz<br />
0.300<br />
0.200<br />
0.100<br />
0.000<br />
0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000<br />
n<br />
(b) Observation of the number of traffic accidents in n minutes.<br />
We can observe in the table below that the frequencies of the<br />
possible results of the experiment seem to converge.<br />
ISABEL MOLINA 20