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Free Statistical Software

Free Statistical Software
Updated 02/13/2015 -- added MaxStat statistical software This page contains links to free software packages that you can download and install on your computer for stand-alone (offline, non-Internet) computing. They are listed below, under the following general headings: General Packages: support a wide variety of statistical analyses Subset Packages: deal with a specific area of analysis, or a limited set of tests Curve Fitting and Modeling: to handle complex, nonlinear models and systems Biostatistics and Epidemiology: especially useful in the life sciences Surveys, Testing and Measurement: especially useful in the business and social sciences Excel Spreadsheets and Add-ins: you need a recent version of Excel Programming Languages and Subroutine Libraries: customized for statistical calculations; you need to learn the appropriate syntax Scripts and Macros: for scriptable packages, like SAS, SPSS, R, etc. Curve-fitting & Modeling: Biostatistics and Epidemiology: Miscellaneous:

Related:  DoEdata analysis

Design of Experiments (DOE) Tutorial Design of experiments (DOE) is a powerful tool that can be used in a variety of experimental situations. DOE allows for multiple input factors to be manipulated determining their effect on a desired output (response). By manipulating multiple inputs at the same time, DOE can identify important interactions that may be missed when experimenting with one factor at a time.

Qualrus - The Intelligent Qualitative Analysis Program Qualrus is an innovative qualitative data analysis tool that helps you manage unstructured data. Use it to analyze interviews, organize field notes, measure survey responses & more... or download the free demo Fast, accurate codingQualrus learns your coding trends and offers relevant suggestions as you go. See your data clearlyVisual semantic network display helps you visualize relationships among codes.

Regression, ANOVA, and general statistics software for Macintosh computers (Macs) (Updated July 2014 with Salstat). Also see: G*Power Configurations Available: Older versions: 680x0; 680x0+FPU; PowerPC native; OS X (Universal Binary); Windows and DOS Current Version: 3.17 / requires OS 10.6 or newer Listing updated: 7/2013 (program updated 2013) Exploratory data analysis In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Exploratory data analysis was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from initial data analysis (IDA),[1] which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA.

Social Network Analysis Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]. ONA allows you to x-ray your organization and reveal the managerial nervous system that connects everything. To understand networks and their participants, we evaluate the location and grouping of actors in the network.

Future Climate for Africa (FCFA) Climate plays a significant role in the lives of many people in Africa; the majority of livelihoods of African people depend on rain-fed agriculture and in some areas, water resources are increasingly stressed. Sub-Saharan Africa is the only region where vulnerability to weather extremes is rising, and the intensity of climate hazards is expected to rise over the coming decades (IPCC, 2013)[1]. Without climate risk management and adaptation, the progress made against the Millennium Development Goals will increasingly come under threat in Africa (OECD, 2009)[2].

What Can Classical Chinese Poetry Teach Us About Graphical Analysis? - Statistics and Quality Data Analysis A famous classical Chinese poem from the Song dynasty describes the views of a mist-covered mountain called Lushan. The poem was inscribed on the wall of a Buddhist monastery by Su Shi, a renowned poet, artist, and calligrapher of the 11th century. Deceptively simple, the poem captures the illusory nature of human perception. Intelligent Archive / Centre for Literary and Linguistic Computing / Research Institutes, Centres & Groups / Research / Humanities and Social Science / Schools Developed at the Centre for Literary and Linguistic Computing , University of Newcastle, Australia Hugh Craig R Whipp, Michael Ralston Introduction worldpoliticsreview Observers of China’s engagement with Africa often assume that Africa is passive in the relationship. A look at Mozambique, Zimbabwe and South Africa shows that the reality is more complicated: Chinese actors often try to partially adapt to specific African systems, with varying degrees of success. Chinese investment and engagement now touches almost every aspect of Africa’s economy, including infrastructure, transport and logistics, trade, manufacture, agriculture, telecommunications and, of course, resource extraction. Because of the vastness of this engagement, commentators frequently fall back on catchall concepts, including an assumption that Africa is essentially passive in this relationship. The reality is much more complicated. Instead of simply imposing Chinese approaches on African realities, Chinese actors frequently try to attain their goals by partially adapting to specific African systems, with varying degrees of success.

Anscombe's quartet All four sets are identical when examined using simple summary statistics, but vary considerably when graphed Anscombe's quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties.[1] For all four datasets: The first scatter plot (top left) appears to be a simple linear relationship, corresponding to two variables correlated and following the assumption of normality.

Introduction and guide A short video guide to this site and to the Caqdas Networking Project site. This site is designed for several different kinds of user who have questions about QDA (qualitative data analysis) and CAQDAS (Computer Assisted Qualitative Data AnalysiS) programs. The links below are for some of these categories of users. A video of a talk on online resources including the CAQDAS Networking site (part 1) and this website (part 3) and a look at Methodspace and a discussion (part 2). The Top 5 Ways to Use British Airways Avios Points - Extra Pack of Peanuts Posted By Trav Now that you’ve read the 4 Things You Should Know about British Airways Avios Points (if you haven’t, check it out first) and are up to speed with the program, let’s look at the top 5 ways to use your Avios points. As I’ve mentioned many times before BA points can be incredibly valuable, but ONLY if you used in very specific circumstances. Therefore, it is even more important with BA than with other airlines to know which circumstances give you the best bang for your buck because if you use them wrong, you could end up paying HUGE fuel surcharges…and nobody wants that! If you’ve already got a nice stash of BA Avios points, great! If you want to start building up your balance, grab the Chase British Airways Visa (which can be found on the Best Current Deals page or the Airline Credit Card page).