The bernoulli distribution and show

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With reference to Example 13 and the computer printout of Figure 4, find the probability that a 15-squarefoot sheet of the metal will have anywhere from 8 to 12 defects, using

(a) the values in the P(X = K) column;

(b) the values in the P(X LESS OR = K) column.

Example 13

With reference to Exercise 12, find the factorial moment-generating function of

(a) the Bernoulli distribution and show that μ'(1) = θ and μ'(r) = 0 for r > 1;

(b) the binomial distribution and use it to find μ and σ2.

Exercise 12

The factorial moment-generating function of a discrete random variable X is given by

Show that the rth derivative of FX(t) with respect to t at t = 1 is μ'(r), the rth factorial moment defined in Exercise 11.

In the proof of Theorem 2 we determined the quantity E[X(X - 1)], called the second factorial moment. In general, the rth factorial moment of X is given by

Express μ'2, μ'3, and μ'4 in terms of factorial moments. 1

Theorem 2

The mean and the variance of the binomial distribution are

                     

Reference no: EM131129105

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