How to fit a histogram with a Gaussian distribution in Origin

#histograminorigin #fithistograminorigin #sayphysics
0:00 how to fit histogram in origin
1:12 how to overlay/merge histogram curve fitting in origin
2:45 how to overlap histogram with a normal distribution in origin
4:00 histogram fitting in origin
Another video that addresses statistical data distribution is here.
Distribution fit for statistical data in origin
• Distribution fit for s...
Exercise File (Origin File):
drive.google.com/file/d/1Tp1A...
In this instructive video tutorial, viewers will learn the process of fitting a histogram with a Gaussian distribution using the versatile Origin software. The video demonstrates how to fit a histogram, overlay and merge histogram curve fitting, and effectively overlap a histogram with a normal distribution. It provides valuable insights into the technique of histogram fitting, making it a valuable resource for those seeking to analyze and model data distributions in Origin.
"OriginLab histogram fit" "Gaussian fit in OriginLab" "Histogram analysis in OriginLab" "OriginLab curve fitting" "Fitting histogram in OriginLab" "Histogram plot in OriginLab" "Gaussian distribution OriginLab" "Data analysis in OriginLab" "Histogram normalization OriginLab" "Histogram bin width OriginLab" "OriginLab data visualization" "Data plotting in OriginLab" "OriginLab statistics" "Histogram peak fitting OriginLab" "OriginLab curve fitting tool" "Gaussian curve fitting OriginLab" "OriginLab data analysis tutorial" "Histogram fitting software OriginLab" "OriginLab graphing software" "OriginLab tutorial for beginners"
histogram fit, histogram fitting, Gaussian distribution, normal distribution
How to fit a histogram with a Gaussian distribution in Origin
Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, normal distribution will appear as a bell curve.

[@MrMRbarati]

Thanks a lot for such great demonstration. God bless you.

[@SAYPhysics]

Glad it was helpful! Thanks

[@alsrod8898]

I'm a fan of your videos.
Every time I have a question about plotting Origin charts, I turn to your channel.
Congratulations!

[@SAYPhysics]

Awesome, thank you! for the appreciation.

[@arsalanadil14912]

have full of respect for you sir, always am understanding easily because of you're Great and easy explanation

[@SAYPhysics]

Great 😊. Thanks

[@user-no5so6no5x]

Thank you very much!

[@SAYPhysics]

You're welcome dear

[@pabloalamo7649]

usefull! thanks a lot

[@SAYPhysics]

Glad it was helpful!

[@chaudry123]

Very helpful

[@SAYPhysics]

Great. Thanks

[@farhanullah9439]

Great Sir... ...Thal abad osyy❤❤❤

[@SAYPhysics]

Thanks dear. Aameen

[@madhukarnaik2708]

Thank you sir

[@SAYPhysics]

You're welcome dear

[@anthonysanderse4150]

Thank you for the insighful video! Is the w of the gaussian function the standard deviation in the particle size that you report?

[@SAYPhysics]

Thanks for the appreciation dear. W is the full width at half maximum, in short, FWHM. Thanks

[@simonepaternostro5688]

good job.

[@SAYPhysics]

Thanks for the appreciation.

[@JonnhyW]

Thx mate

[@SAYPhysics]

Welcome dear 😊

[@devanshumehta5990]

Hi, in the starting of the video your graph had a zero offset near origin of x axis. Any suggestion on how to that can be done? Thanks

[@SAYPhysics]

It depends on your data. I had the distribution of the data like this. Otherwise, you may rescale the axis. Thanks

[@FrancisReyCortes]

Hello. Thank you for your video. But where can I see the confidence interval of the Gaussian fit? Thanks!

[@SAYPhysics]

To find the confidence interval for a specific parameter, select the parameter of interest (e.g., the standard deviation for the Gaussian fit).
Below the parameter list, you'll see options to calculate and display the confidence interval. Click the "Confidence Interval" button.
A new window will open, showing the selected parameter. Thanks for the appreciation dear 😊

[@stolbnyaka]

Thank you for video. But i don`t understand why does curve in the end of the video looks different from the begginning?

[@SAYPhysics]

Because the distribution is different in the start and at the end. Thanks for the appreciation dear 😊

[@davidhou3794]

Thank you for sharing! By any chance, do you know how to make a multi-peak Gaussian fit with Origin?

[@SAYPhysics]

Please check the origin playlist, there are many tutorials on such fittings. Thanks

[@davidhou3794]

@@SAYPhysics Thank you! I found it. It is very useful!

[@SAYPhysics]

Thanks for the appreciation dear

[@muhammadnisarqasim636]

sir how to find average particle size using gaussian distribution on histogram.

[@SAYPhysics]

By taking the average of the standard deviation in such a distribution. Thanks

[@ismailhossain3815]

Good,,,

[@SAYPhysics]

Thanks dear

[@ismailhossain3815]

@@SAYPhysics sir please can you suggest me how to draw equivalent circuit from PEIS spectrum??

[@SAYPhysics]

@@ismailhossain3815 I'm sorry, I don't have its idea. Thanks

[@Alex-yo6ow]

omg this saved me thanks. LITERAL LIFESAVER. Kisses.

[@SAYPhysics]

Thanks for the appreciation dear

[@md.sydulislam4362]

Please sir make a video on How to calculate PORE SIZE, PORE DIAMETER from SEM images using ImageJ software.. Please!

[@SAYPhysics]

Right. Thanks

[@dr.sumantsaini6079]

how to calculate PDI from this? @SAYPhysics

[@SAYPhysics]

This is the particle size distribution. PDI can be calculated from the absorption profile of NPs (e.g. UV-VIS or DLS) that is an indirect method for determining the size of NPs. Concerning a pdi for an individual peak, this is much easier: when displaying the intensity particle size distribution, each peak comes with a mean and a standard deviation. The pdi for that peak is the square of the standard deviation divided by the square of the mean. As an example consider the peak was at a mean size of 9.3nm and the st dev was 4.4nm. As a result then the pdi for this peak would be: 4.4*4.4/(9.3*9.3) = 0.22...Thanks

[@gowthamsubramanyam9282]

which is value is average and standard deviation what are the symbols denoting those..........?

[@SAYPhysics]

In the FitNL1 sheet, average size is w with 3.2, xc is the peak location with 3.8, and standard deviation sigma with 1.627. Thanks

[@ShadowMasterr]

How can we get the mean and variance of the gaussian

[@SAYPhysics]

As you finish the NLfit. Origin generates two sheets in addition to your data sheer as FitNL and FitNL Curve. The FitNL has all the information regarding men and variance etc. At 3.35 of this video, I have shown the respective data sheets. Thanks

[@marianodangelo2187]

@@SAYPhysics Hi, is Xc the mean of the curve? Thanks

[@SAYPhysics]

@@marianodangelo2187 Xc is the center of the curve on the x-axis. Thanks

[@abhajha3914]

so here value of xc with error is average size of particle.

[@SAYPhysics]

Yes dear. Thanks

[@abhajha3914]

@@SAYPhysics Thanku so much..u explained in very easy and simple way