You are reading a page from The Mathematical Theory of Investment, Ernest Brown Skinner, (1913)
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             THE THEORY OF PROBABILITY      183
  68.  Probability of an event when several trials are made.
  THEOREM I. The probability that an event will happen exactly
r times in n trials is
               w(n-l)... (TO-r+1)
                     1.2.3...r    pf '
where p is the probability that it will happen and q the probability
that it will fail in a single trial.
  Proof. By (4) of § 67 the compound probability that the event
will happen in a given trial and fail in the other n — 1 is
                            
pf-1.
The total probability that it will happen in some one of the
n trials is the sum of the probabilities that it will happen in
the separate trials, viz.
           
p(f~l+pq''-l+    to n terms = np<f~1.
Again, the compound probability that an event will happen in
two assigned trials and fail in the other n — 2, say the fifth and
the eleventh, is              »ft^-t
                            
r 1      i
and the total probability that it will happen in any two trials
whatever is         ^"-2+^-2^. . . ^
where the number of terms is equal to the number of ways of
specifying two trials out of n, i.e. CQ). But, by proposition
<3)of§65'         ^  .(.-1)
                      
^—Y^-'
                                  
m (' V) ——  I ~\
Therefore the number of terms is —',——L, and consequently
the total probability that an event will happen twice and fail
n — 2 times in n trials is
                       
^-1).^-.

1.2

pY-

In general, the probability that the event will happen in r
assigned trials and fail in the other n — r trials is
                           
^Y-.
184  MATHEMATICAL THEORY OF INVESTMENT
But there are
                
_ n(n-l)(M-2)---(n-r+l)
           cu-    1.2.3...r
ways of specifying r trials out of n trials. The total probability
that the event will happen exactly r times in n trials is
             
p'qn-r +p'qn-' +   ., to C'(^) terms.
It is therefore
        
cwf-^-^-^-^r-f-.
 
THEOREM II. The probability that an event will happen at
least r times in n trials is
^-^-^p-'f^  - ^^::;^i"f-
where p is the probability that the event will happen, and q the
probability that it will fail in a single trial.
 The event will happen r times if it happens n times, or if it
happens n — 1 times, or if it happens n — 2 times, and so on to
n — (n — r) times. Consequently, the required probability is the
total probability made up of the partial probabilities that it will
happen n times, n — 1 times, and so on. But, by Theorem I, the
partial probability that the event will happen n times in n trials
is j>"; that it will happen n—1 times is np"~lq, that it will
happen n—2 times is  -—o—^""2?2; and, finally, the proba-
                                   
n (n — V)    (r +1')
bility that it will happen r times is ———„'——-^——- p'q"'r.
                                   
J_   A *  o      \^nr)
Consequently, the total probability that it will happen at least r
times is
w,+"<^,--v+    ^y^:::^^-'-
                         
EXAMPLES
  1. Find the probability of throwing 1 and only 1 point in two trials
with 1 die.
  
2. Find the probability of throwing at least 1 point in 2 throws of 1 die.
  3. If, on an average, 99 out of 100 ships reach port safely, find the
probability that at least 2 out of 10 will arrive.