AAWSAP DIRD, An Introduction to the Statistical Drake Equation, March 2010
DOW-UAP-D127 · page 52 of 55
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UNCLASSIFIED/ /fOR OFFI&IAk Wlii QPU,¥ that is (148) (149) Since from the definition (147) one obviously has erf(0)=0, (149) yields This is the median of the lognormal distribution of N. Ill other words, this is the number of ExtraTerrestrial civilizatio11s i11 the Galaxy such that, with 50% probability the actual value of N will be lower tha11 this median, and with 50% probability it will be higher. In conclusion, we feel useful to summarize all the equations that we derived about the random variable N in the following Table 2. NUMERICAL EXAMPLE OF THE ET_DISTANCE DISTRIBUTION ln this section we provide a numerical example of the analytic calculations carried on so far. Consider the Drake Equation values reported (150) in Table 1. Then, the graph of the corresponding probability density function of the nearest whence finally ET _Distance, f ET_Distan"' (r), is shown in Figure 6. Imedian= m= Ce-~ 1. (151) DISTANCE OF NEAREST Er_CIVILIZA TION 5.63·10-20 500 I000 I500 2000 2500 3000 3500 4000 4500 5000 ET_Distance from Earth (ligJ,t years) Figure 6. This is the probability of finding the nearest ExtraTerrestrial Civilization at the distance r from Earth (in light years) if the values assumed in the Drake Equation are those shown in Table I. The relevant probability density function f ET_Distano:Cr) is given by equation (113). Its mode (peak abscissa) equals 1933 light years, but its mean value is higher since the curve has a high tail on the right: the mean value equals in UNCLASSIFIED/fFQA QFFICiIPL. PP&i ODI! Y 52