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50    1. Notions of Probability

                                    The Weibull Distribution: We say that a positive continuous random
                                 variable X has the Weibull distribution if and only if its pdf is given by




                                 where α(> 0) and β(> 0) are referred to as parameters. This pdf is also
                                 skewed to the right. By varying the values of α and β, one can generate
                                 interesting shapes for the associated pdf. The Weibull pdf from (1.7.37) has
                                 been plotted in the Figure 1.7.12 for (α, β) = (3, .5), (3, 1). These figures are
                                 skewed to the right too.
                                    The Rayleigh Distribution We say that a positive continuous random
                                 variable X has the Rayleigh distribution if and only if its pdf is given by




                                 where θ(> 0) is referred to as a parameter. In reliability studies and related
                                 areas, this distribution is used frequently.

















                                            Figure 1.7.13. Raleigh Densities: (a) θ = 1 (b) θ = 4

                                 The pdf from (1.7.38) has been plotted in the Figure 1.7.13 for θ = 1, 4. This
                                 pdf is again skewed to the right. The tail in the rhs became heavier as θ in-
                                 creased from 1 to 4.

                                 1.8 Exercises and Complements


                                    1.1.1 (Example 1.1.1 Continued) In the set up of the Example 1.1.1, find
                                 the probability of observing no heads or two heads.
                                    1.1.2 (Example 1.1.2 Continued) In the set up of the Example 1.1.2, find
                                 the probability of observing a difference of one between the scores which
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