112 CHAPTER 4 CONTINUOUS RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONSProbabilities that are not of the form P(Zz) are found by using the basic rules of prob-
ability and the symmetry of the normal distribution along with Appendix Table II. The fol-
lowing examples illustrate the method.
EXAMPLE 4-12 The following calculations are shown pictorially in Fig. 4-14. In practice, a probability is of-
ten rounded to one or two significant digits.(1)
(2)
(3)
(4). This probability can be found from the difference of two
areas,. Now,Therefore,P 1 1.25Z0.37 2 0.644310.105650.53866P 1 Z0.37 2 0.64431 and P 1 Z1.25 2 0.10565
P 1 Z0.37 2 P 1 Z1.25 2P 1 1.25Z0.37 2P 1 Z1.37 2 P 1 Z1.37 2 0.91465P 1 Z0.86 2 0.19490.P 1 Z1.26 2 1 P 1 Z1.26 2 1 0.896160.10384(1) (5)0 – 3.99(2)0 0(3) (7)00 00001.26 0 1.26- 0.86
0.05z ≅ 1.65z ≅ 2.580.005 0.005- z
0.99- 1.37
=1.37=
1.25 0.37 0.37 –1.25
= –(4)- 4.6 0
(6)1Figure 4-14 Graphical displays for standard normal distributions.Figure 4-13 Standard
normal probability den-
sity function. 0 z= shaded areaP(Z ≤ 1.5) = Φ(1.5)1.50.00 0.01 0.02
01.5z0.93319......
0.93448 0.93574
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