Non Parametric Error Bars
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Confidence Interval For Median
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Median Absolute Deviation
and graphs when using Friedman's nonparametric test? up vote 6 down vote favorite 2 I'm using Friedman's nonparametric tests for repeated measures for my thesis (I tried transformations on all variables first but data was still highly skewed) and had 2 questions: What are the best descriptive stats to put in a table. Means and SDs are commonly reported but Friedman's tests use rank ordering of the means. Should I report median values and range? I read somewhere that mann whitney u test this is more appropriate but I've never really seen it done in empirical papers. Or is it better to report mean, SDs and medians? Second question is what statistics to plot in a graph. I had means with standard error bars but I'm also not sure if this is ok, given the use of nonparametric tests. A previous post said confidence intervals can be used instead of standard error bars with median values, but I'd really just like to know if it's ok to use a graph with means and SDs when your analysis contains nonparametric tests, or whether this is totally unacceptable. Thanks in advance for any advice anyone can provide! data-visualization repeated-measures nonparametric descriptive-statistics share|improve this question edited Oct 11 '11 at 21:46 Jeromy Anglim 27.7k1394197 asked Oct 11 '11 at 12:07 clairec 3112 This question is answered elsewhere on the site. See especially comments about the good value of Hodges-Lehmann estimators. –Frank Harrell Oct 11 '11 at 13:41 @clairec What kind of variable is your dependent variable? How discrete is it? –Jeromy Anglim Oct 11 '11 at 22:06 @Jeromy, in response to your earlier question, for some of the nonparemtric tests the dependent variable is discrete ie. scores out of 20 on a test and for some it is continuous –clairec Oct 12 '11 at 2:05 @clairec the reason I ask is that
Bar chart for non-parametric data Tweet Welcome to Talk Stats! Join the discussion today by registering your FREE account. Membership benefits: • Get your questions answered by community gurus and expert researchers. • Exchange your learning and research experience among peers and get advice and insight. Join Today! + Reply to Thread Results 1 to 2 of 2 Thread: Bar chart for non-parametric data Thread Tools Show Printable Version Email this Page… Subscribe to this Thread… Display Linear Mode Switch to Hybrid Mode Switch to Threaded Mode http://stats.stackexchange.com/questions/16834/what-descriptive-statistics-should-be-reported-in-tables-and-graphs-when-using-f 04-07-201202:22 PM #1 henrysmith View Profile View Forum Posts Give Away Points Posts 2 Thanks 0 Thanked 0 Times in 0 Posts Bar chart for non-parametric data Hi everyone. Just a quick question. So basically I have a repeated measures design with three conditions. Normally I would display the means on a bar chart with 95% CI error bars. Also because http://www.talkstats.com/showthread.php/24805-Bar-chart-for-non-parametric-data it is repeated-measures, I would calculated "adjusted-means" so that the error bars are displayed appropriate to a repeated measures design. However, due to a very small sample size, I have used non-parametic tests to compare the conditions. So how would you recommend summarising the data graphically? I thought about a bar chart with the medians. However, would the error bars still be appropriate. Or should I just not include error bars at all? Bare in mind I'm using SPSS. Have done a massive search of google but still no answer. So if you can help I would really appreciate it. Thanks!! Reply With Quote 04-08-201207:42 AM #2 henrysmith View Profile View Forum Posts Posts 2 Thanks 0 Thanked 0 Times in 0 Posts Re: Bar chart for non-parametric data Originally Posted by victorxstc If error bars are convenient to you, they could be good too. So many articles have used such charts to illustrate small samples. The best form in my opinion is to draw box plots. Thanks very much. Problem with SPSS is when you select error basrs are th
Login Help Contact Us About Access You are not currently logged in. Access your personal https://www.jstor.org/stable/2242083 account or get JSTOR access through your library or other institution: http://scienceblogs.com/cognitivedaily/2007/03/29/most-researchers-dont-understa/ login Log in to your personal account or through your institution. If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User error bars Support for access. We'll provide a PDF copy for your screen reader. The Annals of Statistics Vol. 19, No. 2, Jun., 1991 Bootstrap Simultaneo... Bootstrap Simultaneous Error Bars for Nonparametric Regression W. Hardle and J. S. Marron The Annals of Statistics Vol. 19, No. 2 (Jun., 1991), pp. 778-796 Published by: Institute of Mathematical non parametric error Statistics Stable URL: http://www.jstor.org/stable/2242083 Page Count: 19 Read Online (Free) Download ($19.00) Subscribe ($19.50) Cite this Item Cite This Item Copy Citation Export Citation Export to RefWorks Export a RIS file (For EndNote, ProCite, Reference Manager, Zotero…) Export a Text file (For BibTex) Note: Always review your references and make any necessary corrections before using. Pay attention to names, capitalization, and dates. × Close Overlay Journal Info The Annals of Statistics Description: The Annals of Statistics publishes research papers of the highest quality reflecting the many facets of contemporary statistics. Primary emphasis is placed on importance and originality, not on formalism. The discipline of statistics has deep roots in both mathematics and in substantive scientific fields. Mathematics provides the language in which models and the properties of statistical methods are formulated. It is essential for rigor, coherence, clarity and understanding. Consequently, our policy is to continue to play a special role in presenting research at the forefront of mathematical statis
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