Error Bars Overlap Significant Difference
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Graphpad.com FAQs Find ANY word Find ALL words Find EXACT phrase What you can conclude when two error bars overlap (or don't)? FAQ# 1362 Last Modified 22-April-2010 It is tempting to look at whether two error bars overlap or not, and try to reach a conclusion about whether the difference between means what do overlapping error bars mean is statistically significant. Resist that temptation (Lanzante, 2005)! SD error bars SD error bars quantify the
Error Bars Don't Overlap
scatter among the values. Looking at whether the error bars overlap lets you compare the difference between the mean with the amount of scatter within standard error bars don't overlap the groups. But the t test also takes into account sample size. If the samples were larger with the same means and same standard deviations, the P value would be much smaller. If the samples were smaller with the same means and what does overlap in standard deviation mean same standard deviations, the P value would be larger. When the difference between two means is statistically significant (P < 0.05), the two SD error bars may or may not overlap. Likewise, when the difference between two means is not statistically significant (P > 0.05), the two SD error bars may or may not overlap. Knowing whether SD error bars overlap or not does not let you conclude whether difference between the means is statistically significant or not. SEM error bars SEM error bars
If Error Bars Overlap Is There A Significant Difference
quantify how precisely you know the mean, taking into account both the SD and sample size. Looking at whether the error bars overlap, therefore, lets you compare the difference between the mean with the precision of those means. This sounds promising. But in fact, you don’t learn much by looking at whether SEM error bars overlap. By taking into account sample size and considering how far apart two error bars are, Cumming (2007) came up with some rules for deciding when a difference is significant or not. But these rules are hard to remember and apply. Here is a simpler rule: If two SEM error bars do overlap, and the sample sizes are equal or nearly equal, then you know that the P value is (much) greater than 0.05, so the difference is not statistically significant. The opposite rule does not apply. If two SEM error bars do not overlap, the P value could be less than 0.05, or it could be greater than 0.05. If the sample sizes are very different, this rule of thumb does not always work. Confidence interval error bars Error bars that show the 95% confidence interval (CI) are wider than SE error bars. It doesn’t help to observe that two 95% CI error bars overlap, as the difference between the two means may or may not be statistically significant. Useful rule of thumb: If two 95% CI error bars do not overlap, and the sample sizes are nearly equal, the difference is stati
Health Search databasePMCAll DatabasesAssemblyBioProjectBioSampleBioSystemsBooksClinVarCloneConserved DomainsdbGaPdbVarESTGeneGenomeGEO DataSetsGEO ProfilesGSSGTRHomoloGeneMedGenMeSHNCBI Web SiteNLM CatalogNucleotideOMIMPMCPopSetProbeProteinProtein if error bars overlap are they significant ClustersPubChem BioAssayPubChem CompoundPubChem SubstancePubMedPubMed HealthSNPSRAStructureTaxonomyToolKitToolKitAllToolKitBookToolKitBookghUniGeneSearch termSearch Advanced Journal can error bars overlap and still be significant list Help Journal ListJ Cell Biolv.177(1); 2007 Apr 9PMC2064100 J Cell Biol.
Large 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.graphpad.com/support/faqid/1362/ 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 author
category Specials, focuses & supplements Authors & referees Guide to authors For referees Submit manuscript Reporting checklist About the journal About Nature Methods http://www.nature.com/nmeth/journal/v10/n10/full/nmeth.2659.html About the editors Press releases Contact the journal Subscribe For advertisers http://stats.stackexchange.com/questions/114701/standard-error-bars-overlap-but-significance-estimated-marginal-means-versus-o For librarians Methagora blog Home archive issue This Month full text Nature Methods | This Month Print Share/bookmark Cite U Like Facebook Twitter Delicious Digg Google+ LinkedIn Reddit StumbleUpon Previous article Nature Methods | This Month The Author File: Jeff Dangl Next article Nature Methods error bars | Correspondence ExpressionBlast: mining large, unstructured expression databases Points of Significance: Error bars Martin Krzywinski1, Naomi Altman2, Affiliations Journal name: Nature Methods Volume: 10, Pages: 921–922 Year published: (2013) DOI: doi:10.1038/nmeth.2659 Published online 27 September 2013 Article tools PDF PDF Download as PDF (269 KB) View interactive PDF in ReadCube Citation Reprints Rights & permissions Article error bars overlap metrics The meaning of error bars is often misinterpreted, as is the statistical significance of their overlap. Subject terms: Publishing• Research data• Statistical methods At a glance Figures View all figures Figure 1: Error bar width and interpretation of spacing depends on the error bar type. (a,b) Example graphs are based on sample means of 0 and 1 (n = 10). (a) When bars are scaled to the same size and abut, P values span a wide range. When s.e.m. bars touch, P is large (P = 0.17). (b) Bar size and relative position vary greatly at the conventional P value significance cutoff of 0.05, at which bars may overlap or have a gap. Full size image View in article Figure 2: The size and position of confidence intervals depend on the sample. On average, CI% of intervals are expected to span the mean—about 19 in 20 times for 95% CI. (a) Means and 95% CIs of 20 samples (n = 10) drawn from a no
Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Cross Validated Questions Tags Users Badges Unanswered Ask Question _ Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top Standard error bars overlap but significance - estimated marginal means versus observed means up vote 1 down vote favorite I'm running a Mixed effects model ANOVA with two fixed factors (condition, repetition) and one random factor (subject). Subsequently, a Tukey multiple comparisons test is performed. Now I'd like to plot the means and standard errors (SEMs) of the single conditions in a single error bar plot, and report the p values between the conditions. The problem: while in the Tukey test, I got significant differences and non-overlapping SEMs between certain means, for my plotted real/observed data the SEM bars overlap. This is now counterintuitive, since commonly you would assume that in the case of overlapping, the means are not significantly different. My question is: is the difference between estimated marginal means and observed means due to having a random factor in my model, or what is the reason for the discrepancy? how would you report the data? Would you still plot observed data with the p values and state that the p values are derived from the estimated model? Or would you plot estimated means and standard errors? Thank you! EDIT: I'm adding the multiple comparisons result for a sample case as well as the observed means and standard error plot in case this helps. anova mean standard-error post-hoc share|improve this question edited Sep 8 '14 at 19:13 asked Sep 8 '14 at 13:38 user54643 64 add a comment| 1 Answer 1 active oldest votes up vote 2 down vote Statistical significance is not transitive. If you want to say how much error there is in estimating the me