I am looking for a publicly available data sets that I want to use for demonstration purposes in my statistics Class. I am looking for a versatile data nature that allows me to apply different statistical analysis techniques [ANOVA, ANCOVA, Regression (Simple linear, multiple linear, Non-linear), Logistic Regression] in different design settings. I appreciate if someone kindly shares me data set or links to public data sets.
https://www.facebook.com/groups/853552931365745/permalink/1255291227858578/
Here you go: http://miningdata.be/iris/185-2/
Data from several fields of expertise are present...
Good issue for the best output from the student.
I prefer to have small data set collected by the student, specially for other than Design of experiment classes. This has facilitated the student to relate with the real phenomenon.
My book analyzes over 20 data by many statistical methods. You can download most of the data sets. See "New Theory of Discriminant Analysis after R. Fisher - Advanced Research by Feature-Selection Method for Microarray Data-. See my RG HP.
you can get climate data from everywhere, easy to find and easy to understand by the students
I wrote a book "Climate Time Series Analysis: Classical Statistical and Bootstrap Methods"; the book has a web site, where you find the climate data analysed. In the book, I give in the introductory chapter details about the data (climate archives, measurement devices, etc.). Best wishes, Manfred Mudelsee
http://www.manfredmudelsee.com/book/index.htm
Any statistical software has data to analyze. I suggest R (if you are familiar) because it's free.
One more source in case it helps. Search for
Rand Wilcox software
Then click on datasets. In the section headed by books you will find a list of books that include illustrations using these data files. Both classic and modern robust ANOVA, ANCOVA and regression are described. Modern methods, developed during the last fifty years, are vastly better at handling outliers, skewed distributions, heteroscedasticity and curvature.
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