All Forums  Origin Forum  Origin Forum  Distribution log-normal

Note: Only the poster of this message, and the Moderator can edit the message.

Screensize: 640 x 480 800 x 600 1024 x 768 1280 x 1024 UserName: Password: Anti-Spam Code: Format Mode: Basic  Help  Prompt  Format: Font Andale Mono Arial Arial Black Book Antiqua Century Gothic Comic Sans MS Courier New Georgia Impact Lucida Console Script MT Bold Stencil Tahoma Times New Roman Trebuchet MS Verdana   Size 1 2 3 4 5 6   Color Black Red Yellow Pink Green Orange Purple Blue Beige Brown Teal Navy Maroon LimeGreen Forum: Origin Forum Subject: Message: * HTML is OFF * Forum Code is ON Smilies Origin Ver. and Service Release (Select Help-->About Origin): Operating System: I would like to ask, previously I was still a beginner to do this and I would be very grateful if you could teach me. I have data on microfibril and pore diameters, here I want to see the distribution and average of microfibril and pore diameters. From the results of the histogram plot, my data looks skewed, possibly using log-normal. After I did log-normal and measured the mean with the calculation formula (mean = exp (μ + σ² / 2)) but the results were too large for microfibrils> 1µm, while my data did not have microfibrils that big, all 0,.. µm. The steps I took are listed below: 1. data from imagej (length and feret diameter are entered into the originpro table) 2. each data is made a histogram 3. Histogram is autobinned 4. I made the bin results into a column 5. Then I analyzed -> fitting -> nonlinear curvit -> open log -> category (peak function) and function (lognormal) 6. the results are listed in the picture are the steps I took wrong? or is there an explanation? does my data allow to use gaussian or is it really lognormal? do I need to transform the data? then the average microfibrils and pores that I want come from the initial lognormal or the result of the data transformation and then fit with gaussian?[img]https://my.originlab.com/ftp/forum_and_kbase/Images/Full%20SEM%20mikro%20and%20pori.png[/img] tasya   Check here to subscribe to this topic.