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12. BINOMIAL DISTRIBUTION

Here we are concerned with the case in which an event must be one of two classes, such as up or down, forward or back, positive or negative, etc. Let p be the probability for an event of Class 1. Then (1 - p) is the probability for Class 2, and the joint probability for observing N1 events in Class 1 out of N total events is

Equation 14 The binomial
distribution
    (14)

Note that sumj=1N p(j, N) = [p + (1 - p)]N = 1. The factorials correct for the fact that we are not interested in the order in which the events occurred. For a given experimental result of N1 out of N events in Class 1, the likelihood function curlyL(p) is then

Equation 15     (15)
Equation 16     (16)

From Eq. (15) we have

Equation 17     (17)

From (16) and (17):

Equation 18     (18)

The results, Eqs. (17) and (18), also happen to be the same as those using direct probability. Then

Equation

and

Equation

Example 4

In Example 1 on the µ-e decay angular distribution we found that

Equation

is the error on the asymmetry parameter alpha. Suppose that the individual cosine, xi, of each event is not known. In this problem all we know is the number up vs. the number down. What then is Deltaalpha? Let p be the probability of a decay in the up hemisphere; then we have

Equation

By Eq. (18),

Equation

For small alpha this is Deltaalpha = sqrt[4 / N] as compared to sqrt[3 / N] when the full information is used.

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