Analyzing data sets that are not statistically significant

8 次查看(过去 30 天)
I have the attached data. Those are the testing results of fibre reinforced cement mortars. First column indicates lengths of fibre used and the second column indicates the volume ratios. Third coloumn I have porosity data. I analysed all the data statistically, but no combination found statistically significant (Based on P-vale, correlation coefficient and R-squared). Sometimes may be due to only three data points for each combination (For an instance at 6 mm length, how volume ratios affect porosity have three data points and etc.)So I would kindly would like to know wehther nay other machine learning or techniques are available to interpret these data interestingly and effectively to the scintific community? Becuase, as this, I have 4 more test paramters (not only porosity) and four fibre types as well.
THnak you in advance.
  6 个评论
Constantino Carlos Reyes-Aldasoro
Happy to help. For the longer term, I can highly recommend the book "The Art of Statistics" by David Spiegelhalter. It is very nicely written, well explained and not full of mathematics so it is easier to understand than a normal textbook in Stats:
Pramodya
Pramodya 2024-6-7
Thank you so much for the recommendation, @Constantino Carlos Reyes-Aldasoro. I took a glimpse following your recommendation and found it to be rather simple and easy to understand, as you mentioned. Thank you very much. I will go through the book in detail.

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Biological Physics 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by