Translating statistics to make decisions : a guide for the non-statistician
Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians-and also statisticians who present statistical reports to non-statisticians-must avoid if statistical results are to...
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| Hlavní autor: | |
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| Korporace: | |
| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY :
Apress : Springer,
2017
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| Žánr/forma: | příručky elektronické knihy |
| ISBN: | 978-1-4842-2256-0 978-1-4842-2255-3 9781484222553 |
| Témata: | |
| On-line přístup: | Plný text |
| Tagy: | Přidat tag |
| Shrnutí: | Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians-and also statisticians who present statistical reports to non-statisticians-must avoid if statistical results are to be correctly used for evidence-based business decision making. The author shows how faulty statistical reasoning often undermines the utility of statistical results even among those with advanced technical training. Translating Statistics teaches statistically naive readers enough about statistical questions, methods, models, assumptions, and statements that they will be able to extract the practical message from statistical reports and better constrain what conclusions cannot be made from the results. To non-statisticians with some statistical training, this book offers brush-ups, reminders, and tips for the proper use of statistics and solutions to common errors. To fellow statisticians, the author demonstrates how to present statistical output to non-statisticians to ensure that the statistical results are correctly understood and properly applied to real-world tasks and decisions. The book avoids algebra and proofs, but it does supply code written in R for those readers who are motivated to work out examples. The steady focus throughout the book is on how to turn the mathematical artefacts and specialist jargon that are second nature to statisticians into plain English for corporate customers and stakeholders. The final chapter neatly summarizes the book’s lessons and insights for accurately communicating statistical reports to the non-statisticians who commission and act on them. -- Nakladatelská anotace |
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| Popis jednotky: | Obsahuje rejstřík |
| Fyzický popis: | 1 online zdroj (xix, 324 stran) : ilustrace (převážně barevné) |