Concept explainers
The article “Application of Methods for Central Statistical Monitoring in Clinical Trials” (Clinical Trials, 2013: 783–806) made a strong case for central statistical monitoring as an alternative to more expensive onsite data verification. It suggested various methods for identifying data characteristics such as outliers, incorrect dates, anomalous data patterns, unusual
Digit | 1 | 2 | 3 | 4 | |||||||
Freq. | 342 | 180 | 164 | 155 | |||||||
Digit | 5 | 6 | 7 | 8 | 9 | ||||||
Freq. | 86 | 65 | 54 | 47 | 56 |
Carry out a test of hypotheses to see whether or not these frequencies are consistent with Benford’s Law (the cited article gave P-value information).
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Chapter 14 Solutions
Probability and Statistics for Engineering and the Sciences
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