Introduction to Probability and Statistics for Engineers and Scientists

(Sean Pound) #1

9.7Transforming to Linearity 383


TABLE 9.2
Temperature −log(1−P)
5 ◦ .063
10 ◦ .120
20 ◦ .213
30 ◦ .300
40 ◦ .414
50 ◦ .512
60 ◦ .618
80 ◦ .801

1.0

0.8

0.6

0.4

0.2

0.0

Transformed data

0 20 406080
x

–log (1 – P)

FIGURE 9.11


To see whether the data support this model, we can plot−log(1−P) versusx. The
transformed data are presented in Table 9.2 and the graph in Figure 9.11.
Running Program 9.2 yields that the least square estimates ofαandβare


A=.0154
B=.0099
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