Book contents
- Frontmatter
- Contents
- Dedication
- Foreword to first edition
- Foreword to second edition
- Note on notation
- 1 Decision
- 2 Probability
- 3 Statistics and expectations
- 4 Correlation and association
- 5 Hypothesis testing
- 6 Data modelling and parameter estimation: basics
- 7 Data modelling and parameter estimation: advanced topics
- 8 Detection and surveys
- 9 Sequential data – 1D statistics
- 10 Statistics of large-scale structure
- 11 Epilogue: statistics and our Universe
- Appendix A The literature
- Appendix B Statistical tables
- References
- Index
1 - Decision
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Dedication
- Foreword to first edition
- Foreword to second edition
- Note on notation
- 1 Decision
- 2 Probability
- 3 Statistics and expectations
- 4 Correlation and association
- 5 Hypothesis testing
- 6 Data modelling and parameter estimation: basics
- 7 Data modelling and parameter estimation: advanced topics
- 8 Detection and surveys
- 9 Sequential data – 1D statistics
- 10 Statistics of large-scale structure
- 11 Epilogue: statistics and our Universe
- Appendix A The literature
- Appendix B Statistical tables
- References
- Index
Summary
Statistics, the most important science in the whole world: for upon it depends the practical application of every other science and of every art.
(Florence Nightingale)If your experiment needs statistics, you ought to have done a better experiment.
(Ernest Rutherford)Science is about decision. Building instruments, collecting data, reducing data, compiling catalogues, classifying, doing theory – all of these are tools, techniques or aspects which are necessary. But we are not doing science unless we are deciding something; only decision counts. Is this hypothesis or theory correct? If not, why not? Are these data self-consistent or consistent with other data? Adequate to answer the question posed? What further experiments do they suggest?
We decide by comparing. We compare by describing properties of an object or sample, because lists of numbers or images do not present us with immediate results enabling us to decide anything. Is the faint smudge on an image a star or a galaxy? We characterize its shape, crudely perhaps, by a property, say the full-width half-maximum, the FWHM, which we compare with the FWHM of the point-spread function. We have represented a data set, the image of the object, by a statistic, and in so doing we reach a decision.
Statistics are there for decision and because we know a background against which to take a decision.
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- Information
- Practical Statistics for Astronomers , pp. 1 - 19Publisher: Cambridge University PressPrint publication year: 2012