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list Help Journal ListJ Cell Biolv.177(1); 2007 Apr 9PMC2064100 J Cell Biol. how to calculate error bars 2007 Apr 9; 177(1): 7–11. doi: 10.1083/jcb.200611141PMCID: PMC2064100FeaturesError bars in experimental biologyGeoff Cumming,1 Fiona Fidler,1 and David L. Vaux21School of Psychological http://www.thestudentroom.co.uk/showthread.php?t=383232 Science and 2Department of Biochemistry, La Trobe University, Melbourne, Victoria, Australia 3086Correspondence may also be addressed to Geoff Cumming (ua.ude.ebortal@gnimmuc.g) or Fiona Fidler (ua.ude.ebortal@reldif.f).Author information ► Copyright and License information ►Copyright © 2007, The Rockefeller University PressThis article has been cited by https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064100/ other articles in PMC.AbstractError bars commonly appear in figures in publications, but experimental biologists are often unsure how they should be used and interpreted. In this article we illustrate some basic features of error bars and explain how they can help communicate data and assist correct interpretation. Error bars may show confidence intervals, standard errors, standard deviations, or other quantities. Different types of error bars give quite different information, and so figure legends must make clear what error bars represent. We suggest eight simple rules to assist with effective use and interpretation of error bars.What are error bars for?Journals that publish science—knowledge gained through repeated observation or experiment—don't just present new conclusions, they also present evidence so readers can verify that the au
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(intentionally) riddled with problems that are commonly seen in student's work. Find out how to avoid these costly mistakes below. | Source Graphs - learn to love them!I hear this moan more than any other - it also is one of the most exasperating: "Why do we have to draw graphs in Science - it's not maths!" With Ofsted going on about 'integrated curricula' it is important that students do not see subjects as insular and cut off from each other. The skills learnt in Math, English and Technology are readily and necessarily transferable to the Scientific arena. Graphs are one of the most important tools available to scientists (young and old) to display data. They are: Easy to interpret Display a large amount of information in a small (ish) space Easy to draw! Worth LOADS of marks in coursework and in exams (typically 4-8marks) It is a source of endless annoyance seeing a pupil miss a grade boundary by a couple of marks only to scrutinise the paper and see 3 marks thrown away due to poor graphing. This article will take you through the golden rules of drawing graphs, applicable to all exam boards, all situations, all the time. They are even up on my classroom wall as my 'Tips for the Top' Common Mistakes, and how to avoid themAt least half the marks for any graph question are awarded for presenting your graph according to standard conventions; this is before the actual content has even been assessed. Before moving on from any graph question or from a graph section of your coursework, ensure you have followed the 6 Graph Commandments Thou shalt draw your graph in pencil with a ruler. Thou shalt use all thy graph paper. Thou shalt label your axes. Thou shalt always give units. Thou shalt not draw bar graphs. Thou shalt not play dot-to-dot with thy data points! Taking a closer look at that graph - this person has broken five of the six commandments. Even if all their data points