Concept explainers
A transformation of data values by means of some mathematical
IDT | log10(IDT) | IDT log10(IDT) | IDT | log10(IDT) |
28.1 | 1.45 | 60.1 1.78 | 21.0 | 1.32 |
31.2 | 1.49 | 23.7 1.37 | 22.3 | 1.35 |
13.7 | 1.14 | 18.6 1.27 | 15.5 | 1.19 |
46.0 | 1.66 | 21.4 1.33 | 36.3 | 1.56 |
25.8 | 1.41 | 26.6 1.42 | 19.1 | 1.28 |
16.8 | 1.23 | 26.2 1.42 | 38.4 | 1.58 |
34.8 | 1.54 | 32.0 1.51 | 72.8 | 1.86 |
62.3 | 1.79 | 43.5 1.64 | 48.9 | 1.69 |
28.0 | 1.45 | 17.4 1.24 | 21.4 | 1.33 |
17.9 | 1.25 | 38.8 1.59 | 20.7 | 1.32 |
19.5 | 1.29 | 30.6 1.49 | 57.3 | 1.76 |
21.1 | 1.32 | 55.6 1.75 | 40.9 | 1.61 |
31.9 | 1.50 | 25.5 1.41 | ||
28.9 | 1.46 | 52.1 1.72 |
Use class intervals 10−<20, 20−<30, ... to construct a histogram of the original data. Use intervals 1.1−<1.2, 1.2−<1.3, ... to do the same for the transformed data. What is the effect of the transformation?
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Chapter 1 Solutions
Probability and Statistics for Engineering and the Sciences
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