Difference between revisions of "Expressing Uncertainty"
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<breadcrumbs> Analytica User Guide > {{PAGENAME}}</breadcrumbs><br /> | <breadcrumbs> Analytica User Guide > {{PAGENAME}}</breadcrumbs><br /> | ||
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Analytica makes it easy to model and analyze uncertainties even if you have minimal background | Analytica makes it easy to model and analyze uncertainties even if you have minimal background | ||
in probability and statistics. The graphs below review several key concepts from probability and statistics to help you understand the probabilistic modeling facilities in Analytica. This chapter | in probability and statistics. The graphs below review several key concepts from probability and statistics to help you understand the probabilistic modeling facilities in Analytica. This chapter | ||
assumes that you have encountered most of these concepts before, but possibly in the distant | assumes that you have encountered most of these concepts before, but possibly in the distant | ||
| − | past. If you need more information, see | + | past. If you need more information, see [[Glossary]] or refer to an introductory text on probability and statistics. |
| − | [[File:Uncertain_quantity_X.png | + | [[File:Uncertain_quantity_X.png]] |
==Sections== | ==Sections== | ||
Revision as of 05:18, 16 November 2015
Analytica makes it easy to model and analyze uncertainties even if you have minimal background in probability and statistics. The graphs below review several key concepts from probability and statistics to help you understand the probabilistic modeling facilities in Analytica. This chapter assumes that you have encountered most of these concepts before, but possibly in the distant past. If you need more information, see Glossary or refer to an introductory text on probability and statistics.
Sections
- Choosing an appropriate distribution
- Defining a variable as a distribution
- Including a distribution in a definition
- Probabilistic calculation
- Uncertainty Setup dialog
See Also
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