Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...
The first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical Analysis). We ...
R is a free computing and graphical software/environment for statistical analysis. Part II of this short course consists of introduction to statistical analysis in R, including t-tests, ANOVA, linear ...
The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...
Many students in the MSLIS and MS in Data Analytics programs are required to learn about data analysis and assessment. One of the most useful tools (and it is free and open source) is RStudio, an IDE ...
The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...
R is hot. Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn’s R group or the more than 400 R Meetup groups currently in existence, there can be little doubt that ...
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