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              72     Modern Analytical Chemistry


                                              Binomial Distribution The binomial distribution describes a population in which
               binomial distribution
               Probability distribution showing chance  the values are the number of times a particular outcome occurs during a fixed num-
               of obtaining one of two specific  ber of trials. Mathematically, the binomial distribution is given as
               outcomes in a fixed number of trials.
                                                                           N!
                                                                                               -
                                                                (
                                                               PX, N) =           ´ p X  ( ´1  - p) N X
                                                                        XN -  X)!
                                                                         !(
                                              where P(X,N) is the probability that a given outcome will occur X times during N
                                              trials, and p is the probability that the outcome will occur in a single trial.* If you
                                              flip a coin five times, P(2,5) gives the probability that two of the five trials will turn
                                              up “heads.”
                                                  A binomial distribution has well-defined measures of central tendency and
                                              spread. The true mean value, for example, is given as

                                                                             m= Np
                                              and the true spread is given by the variance
                                                                           2
                                                                          s = Np(1 – p)
                                              or the standard deviation
                                                                         s= Np(1   -p)

                                                  The binomial distribution describes a population whose members have only
                                              certain, discrete values. A good example of a population obeying the binomial dis-
               homogeneous                    tribution is the sampling of homogeneous materials. As shown in Example 4.10, the
               Uniform in composition.        binomial distribution can be used to calculate the probability of finding a particular
                                              isotope in a molecule.

                                                         4
                                                  EXAMPLE  .10
                                                                                  12
                                                                                          13
                                                  Carbon has two common isotopes,  C and  C, with relative isotopic
                                                  abundances of, respectively, 98.89% and 1.11%. (a) What are the mean and
                                                                                 13
                                                  standard deviation for the number of  C atoms in a molecule of cholesterol?
                                                  (b) What is the probability of finding a molecule of cholesterol (C 27 H 44 O)
                                                                     13
                                                  containing no atoms of  C?
                                                  SOLUTION
                                                                                  13
                                                  The probability of finding an atom of  C in cholesterol follows a binomial
                                                                                                       13
                                                  distribution, where X is the sought for frequency of occurrence of  C atoms, N
                                                  is the number of C atoms in a molecule of cholesterol, and p is the probability
                                                                   13
                                                  of finding an atom of  C.
                                                                       13
                                                  (a) The mean number of  C atoms in a molecule of cholesterol is
                                                                     m= Np =27 ´0.0111 = 0.300
                                                  with a standard deviation of

                                                                  s= ( )( .0111 )(1  - .0111 )  =.172
                                                                                    0
                                                                           0
                                                                                             0
                                                                        27
                                                                                     13
                                                  (b)  Since the mean is less than one atom of  C per molecule, most
                                                                                       13
                                                     molecules of cholesterol will not have any  C. To calculate
                                              *N! is read as N-factorial and is the product N ´(N –1) ´(N –2) ´ ... ´1. For example, 4! is 4 ´3 ´2 ´1, or 24.
                                              Your calculator probably has a key for calculating factorials.
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