Editing 2311: Confidence Interval
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==Explanation== | ==Explanation== | ||
β | This is another one of [[Randall|Randall's]] [[:Category:Tips|Tips]], this time a [[:Category:Science tip|Science Tip]]. This is the | + | This is another one of [[Randall|Randall's]] [[:Category:Tips|Tips]], this time a [[:Category:Science tip|Science Tip]]. This is the first time that a category of tips (besides "[[:Category:Protip|Protip]]") has been re-used. |
Graphs of continuous functions' predicted values often show {{w|confidence interval}}s, a region (either shaded or marked with dotted lines, the latter used here) that indicates the {{w|observational error|margin of error}} for the prediction at any point. The joke in this comic is that the estimate has so much uncertainty that the confidence interval extends off the top and bottom of the chart, which in a real report would usually prevent it from being printed and require a re-scaled chart to show it (if not declined altogether, as data with such wide variance might be deemed useless). This may be a tip as if it's outside the printable area, it won't be seen by anyone who reads it, and thus they won't realize how bad your model is, though this is more of a tip in how to trick people into falsely thinking you've shown a good result with your work than it is a tip in presenting an actual legitimate useful scientific result. | Graphs of continuous functions' predicted values often show {{w|confidence interval}}s, a region (either shaded or marked with dotted lines, the latter used here) that indicates the {{w|observational error|margin of error}} for the prediction at any point. The joke in this comic is that the estimate has so much uncertainty that the confidence interval extends off the top and bottom of the chart, which in a real report would usually prevent it from being printed and require a re-scaled chart to show it (if not declined altogether, as data with such wide variance might be deemed useless). This may be a tip as if it's outside the printable area, it won't be seen by anyone who reads it, and thus they won't realize how bad your model is, though this is more of a tip in how to trick people into falsely thinking you've shown a good result with your work than it is a tip in presenting an actual legitimate useful scientific result. |