Fitting Normal Distribution Histogram - Help Needed

AI Thread Summary
The data presented for the histogram does not appear to follow a normal distribution, with suggestions that it may be bimodal. Users have noted that a different online program yields better fitting results, indicating potential issues with the original fitting method. The sample size is considered too small to accurately determine the distribution shape, and alternative graphing methods like boxplots are recommended. There is also a suggestion to explore using a skew normal distribution for potentially better fitting. Overall, the discussion emphasizes the importance of data characteristics and appropriate analysis techniques.
randa177
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I have a set of data that I used to create a histogram, and would like to fit it with a Gauss shape...I used the regular equation for a normal distribution, using the mean value and the standard deviation of my data, but the Gauss shape doesn't seem to be really fitting my data... I might be doing something wrong... I am attaching it here...

Thanks!
 

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Yeah, the data doesn't look normal. Maybe it's a bimodal distribution of some sort?
 
actually when I use the same of data on an online program I get better results...
These are the numbers I am using:
-2.1
-1.8
-1.6
-1.4
-1.2
-1.1
-1
-0.9
-0.8
-0.7
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.8

Do you know what the problem might be?
PS: Try putting these numbers here: http://azzalini.stat.unipd.it/SN/sn-fit.html
It gives a reasonable solution...

Why isn't giving me similar solution? Any idea?
 
I agree with CrGreatHouse - your data shouldn't be considered to be normally distributed.

More importantly, if the data in your final post is your entire data set, the sample size is far too small to get a reliable idea of shape of the underlying distribution. A different type of graph (boxplot perhaps) would be a far better choice.
 
What if I use a skew normal distribution... do you think that might fit the data better?
 
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