DOCSLIB.ORG

Community Notebook

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Community Notebook Community Notebook Free Software Projects Projects on the Move Who says statistics have to be a nightmare? Also in this issue: After the Deadline takes care of language issues. By Carsten Schnober and Heike Jurzik Jan Prchal, 123RF ven hardened nerds are often over-challenged by the less than intuitive field of statistics. Besides the theory, you Kheng123RF Ho Toh, need to know how to use the software that converts all Ethe theory into a practical application. The R environment [1] can be a big help on the software side. This free implementation of the S statistics programming lan- guage was launched in 1992. Initially, you will not be able to do much with R and its spartan command-line tools until you learn the language. Although SPSS [2] is a commercial alternative, even students are asked to pay a three-digit licensing fee, and the quality isn’t always on par with R. Sofa Statistics for All Free statistics software with an intuitive web interface is a niche that the Sofa (Statistics Open For All) [3] project fills. One of the project’s aims is to give statisticians an easy-to-use tool. Like many other mathematical disciplines, statistics is an ancillary science that is used in many areas to interpret empiric surveys. For example, you can use a series of results to calcu- late the probability of dice throws. Social scientists can also forecast whether a survey is significant or will just output random values. Many statistical tests have different strengths and weaknesses that only specialists can assess. Statistical tests are generally regarded as essential because human intuition is prone to misjudgment. The Monte-Carlo fallacy is just one example that leads to an incorrect assumption of coherencies and the resulting shift of probabilities between two unrelated events – for example, between the result of the next throw of the dice and the previous results with the same dice. To cope with these and even more complex problems, Sofa (Figure 1) supports standards such as ANOVA (analysis of variance), Pearson’s chi-square test, t-tests, and other methods. The statistics tool also provides basic values like means, medi- ans, standard deviations, sums, maximums, minimums, and more. Quick Change Artist As mentioned previously, Sofa’s strength is not just its functionality; R and others have all the features listed in the previous section. But Sofa also impresses with its easy accessibility and its import and export options. 92 DECEMBER 2010 ISSUE 121 LINUX-MAGAZINE.COM | LINUXPROMAGAZINE.COM 092-094_projects.indd 92 07.10.2010 12:11:52 Uhr Community Notebook Free Software Projects Sofa can read data from an SQL data- and text summarization base (MySQL, SQLite, and PostgreSQL), and correction, quickly from Open Document spreadsheets (as reached their limits, a used by OpenOffice and others) and new approach has dom- from MS Access. The program presents inated recent research: the results in HTML format and relies on statistical models. JavaScript to highlight specific rows of Whereas statisticians data in a targeted way when the user used to apply complex mouses over them, giving users the abil- rules manually in the ity to build statistics directly into a web- language of their site. Alternatively, Sofa stores its results choice, encountering directly in spreadsheet formats used by many new exceptions OpenOffice Calc and Microsoft Excel. and supplements in the Users can point and click to define the process, the current ap- style and content of their Sofa reports proach is for programs (Figure 2). Also, the software can auto- to learn from existing Figure 1: Sofa offers an intuitive user interface that pleases mate output, via Python to create, for ex- texts on the basis of sta- professional statisticians and newcomers alike. ample, a new program in a blog when tistical methods. new data occur. The advantage of sta- tistical language models Functionality and of this kind is that they Usability need virtually no man- Sofa relies on the free Dojo toolkit [4] to ual preparation. All render the JavaScript-enhanced HTML they require is a large output. Sofa itself is implemented in Java volume of text from and thus runs on other platforms besides which to learn. The dis- Linux. The homepage includes prebuilt advantage is that, with packages for Ubuntu, Windows, and Mac no upper limit for the OS X, as well as the source code. volume of text, a system The roadmap for future versions of the of this kind will need a program includes the ability to export to fairly large amount of the Oracle database format and other di- space, a couple of hun- agram types. Additionally, a plugin ar- dred megabytes at least, chitecture is planned to facilitate the in- both on disk and in tegration of further statistics functions. RAM, which is a big Sofa developers also continue to pur- issue, especially on mo- Figure 2: Sofa can create reports in a variety of file formats by sue their original goal – that of making bile devices. simply selecting the data and choosing a presentation format. statistical methods more accessible to Therefore, statistics- newcomers. To this end, the tool will in- based grammar and spelling checkers clude tips on typical applications and are less well suited to use on the desk- graphical examples in the future. They top. Who wants to swap their lean client also plan to expand localization efforts: fast enough for word processing for a fat Right now, Sofa is only available in Eng- one, just to run a single function? lish and Galician, but more languages The alternative is a spell checker that are planned. If you are interested in con- compares words with a dictionary and tributing to a translation or promoting reports an error if it encounters some- the development of Sofa in any other thing unknown. The mistakes it finds are way, you can contact the developers via fairly simple, and it will fail to discover the project homepage. Grant Paton- errors in sentence structure, stylistic Simpson encourages users to report is- bugs, grammatical errors, and incorrect sues and vote through the Freshmeat usage of words. Some commercial word and SourceForge open source portals. processors do provide ruleset-based grammar checkers, but manual defini- From Theory to Practice tions will never be able to cover all the Automated processing of natural lan- rules that govern human language. guages is one example of a practical ap- plication of sophisticated statistical Deadline for Typos methods. Whereas the early applications After the Deadline [5] offers an innova- in this field, such as machine translation tive solution to users with broadband In- LINUX-MAGAZINE.COM | LINUXPROMAGAZINE.COM ISSUE 121 DECEMBER 2010 93 092-094_projects.indd 93 07.10.2010 12:11:54 Uhr Community Notebook Free Software Projects ternet connections. The most likely candidate to replace an un- free web service accepts known word. Besides considering the texts and returns proof- probability of the word occurring in the reading proposals. The given context (i.e., with the preceding name comes from the and following words), After the Deadline New York Times column looks at other factors: the number of that investigates stylistic changes required to create another word blunders in day-to-day from the word with the typo, and the English. match between the first letter and the After the Deadline is a context-dependent frequency of a word. statistical language A neuronal network helps assess the cor- model that weighs in at rection suggestions. Figure 3: The OpenOffice plugin for After the Deadline sup- 1GB and resides in RAM After the Deadline does resort to man- ports stylistic corrections in addition to spell checking. server side, thus reduc- ual rules for any further checks; to this ing the client require- end, it integrates LanguageTool [6], ments to something min- which was developed in 2003 and is imal. Users simply need available as an independent OpenOffice a program to access the plugin. Additionally, After the Deadline online service, and there can structure a body of text in a mean- are plugins to handle ingful way and generate suggestions for this for the Open Office paragraph borders. word processor, Firefox, Google Chrome brows- Unlimited Options ers, and the WordPress If you are interested in checking out the blogging software. program’s capabilities, you can test After Also, extensions for the Deadline online [7]. The plugins re- jQuery and TinyMCE let ferred to will also cooperate with one of users build the spell- the project’s servers, although use is re- Figure 4: Known words can still be incorrect depending on the checker into forms on stricted to the English language and context: After the Deadline identifies mistakes that occur websites. With open must be non-commercial. because of different words with identical pronunciation. standards and source Users who are interested in deploying code, there is nothing to the style and language checker for com- prevent more interfaces being developed mercial purposes, or for multiple lan- in future. guages, will find an installation how-to Figure 3 shows the setup options for for the server component on the pro- the OpenOffice extension. After the ject’s website. Deadline offers a long list of optional The GPL’d software requires Sun’s style checks that supplement the tool’s Java version 1.6.0 and 1.5GB of RAM for core functionality. The tests will warn the low-memory variant or 4GB of RAM you, for example, if you use overly com- for the full version. The 1.6.0 version is plicated sentence structure, nominaliza- useful for short documents and a re- tion (Hidden Verbs) and passive sen- stricted amount of client access.
Load more

Recommended publications
  • JASP: Graphical Statistical Software for Common Statistical Designs
    JSS Journal of Statistical Software January 2019, Volume 88, Issue 2. doi: 10.18637/jss.v088.i02 JASP: Graphical Statistical Software for Common Statistical Designs Jonathon Love Ravi Selker Maarten Marsman University of Newcastle University of Amsterdam University of Amsterdam Tahira Jamil Damian Dropmann Josine Verhagen University of Amsterdam University of Amsterdam University of Amsterdam Alexander Ly Quentin F. Gronau Martin Šmíra University of Amsterdam University of Amsterdam Masaryk University Sacha Epskamp Dora Matzke Anneliese Wild University of Amsterdam University of Amsterdam University of Amsterdam Patrick Knight Jeffrey N. Rouder Richard D. Morey University of Amsterdam University of California, Irvine Cardiff University University of Missouri Eric-Jan Wagenmakers University of Amsterdam Abstract This paper introduces JASP, a free graphical software package for basic statistical pro- cedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attrac- tive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting prac- tice. The JASP analyses are implemented in R and a series of R packages. Keywords: JASP, statistical software, Bayesian inference, graphical user interface, basic statis- tics.
    [Show full text]
  • Security Systems Services World Report
    Security Systems Services World Report established in 1974, and a brand since 1981. www.datagroup.org Security Systems Services World Report Database Ref: 56162 This database is updated monthly. Security Systems Services World Report SECURITY SYSTEMS SERVICES WORLD REPORT The Security systems services Report has the following information. The base report has 59 chapters, plus the Excel spreadsheets & Access databases specified. This research provides World Data on Security systems services. The report is available in several Editions and Parts and the contents and cost of each part is shown below. The Client can choose the Edition required; and subsequently any Parts that are required from the After-Sales Service. Contents Description ....................................................................................................................................... 5 REPORT EDITIONS ........................................................................................................................... 6 World Report ....................................................................................................................................... 6 Regional Report ................................................................................................................................... 6 Country Report .................................................................................................................................... 6 Town & Country Report ......................................................................................................................
    [Show full text]
  • O4 EN Nowy.Pdf
    Authors: Agata Goździk, Dagmara Bożek, Karolina Chodzińska, Jesús Clemente, María Clemente, Alexia Micallef Gatt, Antonija Grizelj, Despoina Mitropoulou, Kostas Papadimas, Anita Simac, Franca Sormani, Mieke Sterken, Contributors: Institute of Geophysiscs, Polish Academy of Sciences Please cite this publication as: Goździk, A. et al (2021). BRITEC Citizen Science Toolkit. BRITEC report. March 2021, Institute of Geophysics PAS, Poland Keywords: Science, Technology, Engineering and Mathematics (STEM); Citizen Science; Participatory Science; School Education, research ethics Design/DTP: Mattia Gentile This report is published under the terms and conditions of the Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/). This report was produced within the project BRITEC: Bringing Research into the Classroom and has been funded with support from the European Commission within ERASMUS+ Programme, and corresponds to Output 4 of the project. This report reflects the views only of the authors, and FRSE and the European Commission cannot be held responsible for any use which may be made of the information contained therein. 1 Table of contents Executive summary ................................................................................................................................. 3 Introduction to Citizen Science ............................................................................................................... 4 Citizen Science Tools ..............................................................................................................................
    [Show full text]
  • Cumulation of Poverty Measures: the Theory Beyond It, Possible Applications and Software Developed
    Cumulation of Poverty measures: the theory beyond it, possible applications and software developed (Francesca Gagliardi and Giulio Tarditi) Siena, October 6th , 2010 1 Context and scope Reliable indicators of poverty and social exclusion are an essential monitoring tool. In the EU-wide context, these indicators are most useful when they are comparable across countries and over time. Furthermore, policy research and application require statistics disaggregated to increasingly lower levels and smaller subpopulations. Direct, one-time estimates from surveys designed primarily to meet national needs tend to be insufficiently precise for meeting these new policy needs. This is particularly true in the domain of poverty and social exclusion, the monitoring of which requires complex distributional statistics – statistics necessarily based on intensive and relatively small- scale surveys of households and persons. This work addresses some statistical aspects relating to improving the sampling precision of such indicators in EU countries, in particular through the cumulation of data over rounds of regularly repeated national surveys. 2 EU-SILC The reference data for this purpose are EU Statistics on Income and Living Conditions, the major source of comparative statistics on income and living conditions in Europe. A standard integrated design has been adopted by nearly all EU countries. It involves a rotational panel, with a new sample of households and persons introduced each year to replace one-fourth of the existing sample. Persons enumerated in each new sample are followed-up in the survey for four years. The design yields each year a cross- sectional sample, as well as longitudinal samples of 2, 3 and 4 year duration.
    [Show full text]
  • Catering Services World Market Database Report & Database
    Catering Services World Market Database Report & Database established in 1974, and a brand since 1981. www.datagroup.org Catering Services Database Ref: W2811_L This database is updated monthly. Catering Services World Market Database Report & Database CATERING SERVICES REPORT The Catering services Report & Database has the following information. The base report has 59 chapters, plus the Excel spreadsheets & Access databases specified. This research provides World Market Database on Catering services. The report is available in several Editions and Parts and the contents and cost of each part is shown below. The Client can choose the Edition required; and subsequently any Parts that are required from the After-Sales Service. Contents Description ....................................................................................................................................... 5 Coverage ......................................................................................................................................... 8 REPORT EDITIONS ......................................................................................................................... 12 World Report & Database.................................................................................................................. 12 Regional Report & Database ............................................................................................................. 12 Country Report & Database .............................................................................................................
    [Show full text]
  • Rcommander Tinn-R Microsoft R Open & R Server R GUI
    Vol. 24, No.1 (January to March 2017) RCommander Tinn-R Microsoft R Open & R Server R GUI R: An Open Source Software Environment for Statistical Analysis Yatrik Patel1, Divyakant Vaghela2, Hitesh Solanki3 and Mitisha Vaidya4 1 Scientist D (CS),2,3 Scientist B (CS), 4 Project Officer (CS) IndCat N-LIST (E-resources for College) http://indcat.inflibnet.ac.in/ http://nilst.inflibnet.ac.in/ SOUL Helpline Open Journal Access System (OJAS) Tel. : +91-79-23268300 http://www.inflibnet.ac.in/ojs/ VIDWAN Shodhganga http://vidwan.inflibnet.ac.in/ http://shodhganga.inflibnet.ac.in/ e-ShodhSindhu ICT Skill Development Programmes http://ess.inflibnet.ac.in/ https://www.inflibnet.ac.in/hrd/ e-PG Pathshala Vidya-Mitra: Integrated e-content Portal http://epgp.inflibnet.ac.in/ http://vidyamitra.inflibnet.ac.in/ INFLIBNET’s Institutional Repositary InfiStats: Usage Statistics Portal for e-Resource http://ir.inflibnet.ac.in/ https://www.inflibnet.ac.in/infistat/ 1 From Director's Desk 3 Training Programme on SOUL 2.0, INFLIBNET Centre, Gandhinagar 4 INFLIBNET Regional Training Programme on Library Automation (IRTPLA) INFLIBNET Regional Training Programme on Library Automation, Mohanlal Sukhdia University, Udaipur, 20th-24th February, 2017 INFLIBNET Regional Training Programme on Library Automation, Calcutta University, Kolkata, 28th March-1st April, 2017 5 Specialized Training Programmes/National Workshops/ National Conferences Five-day Training Programme on Creation and management of Digital Collections using DSpace, INFLIBNET Centre, Gandhinagar, 30th
    [Show full text]
  • Comparative Analysis of the Use of Open Source Software in Teaching of Data Processing
    INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES Volume 8, 2014 Comparative analysis of the use of open source software in teaching of data processing Klara Rybenska, Josef Sedivy and Lucie Kudova interviewed each user what software most commonly used for Abstract— Commonly used tool for processing of statistical data in processing of statistical data (Fig 1). the research and teaching of the humanities and natural sciences program IBM SPSS. This tool is an unwritten standard not only for K. Rybenska, University of Hradec Kralove, Student of Doctoral Studies of many school systems, but also for many state institutions in the Information and Communication Technologies of Education, Rokitanskeho Czech Republic, which make available statistical data in the form of 62, 500 03 Hradec Kralove, Czech Republic (phone: +420 493331215; e-mail: programs SPSS. The big disadvantage of this program is the high [email protected]). price, which is very restrictive for use in an academic environment, J. Sedivy, University of Hradec Kralove, Faculty of Science, Department of Informatics, Rokitanskeho 62, 500 03 Hradec Kralove, Czech Republic whether in the classroom and in the case of individual student work (phone: +420 493331171; e-mail: [email protected]). on their computers and also for their possible future practice. L. Kudova University of Hradec Kralove, Faculty of Arts, Department of Currently, there are two tools that could replace the proprietary Social Science, Rokitanskeho 62, 500 03 Hradec Kralove, Czech Republic software. These are programs SOFA (http://www.sofastatistics.com) (phone: +420 493331246; e-mail: [email protected]). and PSPP (http://www.gnu.org/software/pspp/), which are free and available under a license that allows these programs to install and use not only in academia, but also for possible future commercial use of students in this software will learn.
    [Show full text]
  • Atvirojo Kodo Programų Taikymas Rinkos Tyrimuose
    MYKOLO ROMERIO UNIVERSITETAS Tatjana Bilevičienė, Steponas Jonušauskas ATVIROJO KODO PROGRAMŲ TAIKYMAS RINKOS TYRIMUOSE Vadovėlis Vilnius 2013 UDK 004.4:339.13(075.8) Bi238 Recenzavo: doc. dr. Eugenijus Telešius, Informacinių technologijų institutas prof. dr. Vitalija Rudzkienė, Mykolo Romerio universitetas Autorių indėlis: doc. dr. Steponas Jonušauskas – 4,2 autorinio lanko doc. dr. Tatjana Bilevičienė – 5,4 autorinio lanko Mykolo Romerio universiteto Socialinės informatikos fakulteto Informatikos ir programų sistemų katedros 2012 m. spalio 11 d. posėdyje (protokolo Nr. 1INFPSK-16) pritarta leidybai. Mykolo Romerio universiteto Mokslo programos „Socialinės technologijos“ komiteto 2012 m. lapkričio 5 d. posėdyje (protokolo Nr. MPK2-4) pritarta leidybai. Mykolo Romerio universiteto Socialinės informatikos fakulteto tarybos 2012 m. lapkri- čio 8 d. posėdyje (protokolo Nr. 10-55-(1.15 E-20701)) pritarta leidybai. Mykolo Romerio universiteto Mokslinių-mokomųjų leidinių aprobavimo leidybai komi- sijos 2012 m. lapkričio 14 d. posėdyje (protokolo Nr. 2L-38) pritarta leidybai. Visos knygos leidybos teisės saugomos. Ši knyga arba kuri nors jos dalis negali būti dauginama, taisoma arba kitu būdu platinama be leidėjo sutikimo. ISBN 978-9955-19-513-9 © Mykolo Romerio universitetas, 2013 Turinys PRATARMĖ ...................................................................................................................5 1. ATVIROJO KODO PROGRAMŲ TAIKYMAS ...................................................8 1.1. Atvirojo kodo programų ypatumai ....................................................................8
    [Show full text]
  • Temporal Preference Analysis in Recommender Systems
    Temporal Preference Analysis In Recommender Systems Master’s Thesis 0,5 0,4 0,3 0,2 0,1 category_effect movie_effect maca_effect 0,0 -0,1 -0,2 -0,3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Marek Karczewski Temporal Preference Analysis In Recommender Systems THESIS submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in COMPUTER SCIENCE by Marek Karczewski born in Warsaw, Poland Web Information Systems Group Department of Software Technology Faculty EEMCS, Delft University of Technology Delft, the Netherlands www.wis.ewi.tudelft.nl c 2010 Marek Karczewski. Coverpicture: Temporal Effects Temporal Preference Analysis In Recommender Systems Author: Marek Karczewski Student id: 9422407 Email: [email protected] Abstract This thesis presents the results of research into temporal preference analysis in recommender systems. Temporal preference analysis consists of methods for detecting time recurrent changes in user preferences and for using this informa- tion to improve recommendation precision. Thesis Committee: Chair: Prof.Dr.Ir. G.J.P.M. Houben, Faculty EEMCS, TUDelft University supervisor: Dr.Ir. A.J.H. Hidders, Faculty EEMCS, TUDelft Committee Member: Ir. H.J.A.M. Geers, Faculty EEMCS, TUDelft Preface This thesis could not have been completed without the love and support of a number of people. First and foremost I would like to express my gratitude to the wonder- ful women in my life. Dear Mother, thank You for supporting and motivating me throughout the years.
    [Show full text]
  • UNIT-1 RESERACH METHODOLOGY MEANING: It Is a Scientific And
    UNIT-1 RESERACH METHODOLOGY MEANING: It is a scientific and systematic search for pertinent (correct) information on a specific topic. It is an art of scientific investigation. It is the search for knowledge through objectives and systematic approach concerning generalization and formulation of a theory. DEFINITION: According to advance learner‟s dictionary of current English, “research methodology is a careful investigation or inquiry especially through search for new facts in any branch of knowledge”. According to Redman & Mery, “It is a systemized effort to gain knowledge”. According to Clifford woody, “research comprises defining and redefining problems; formulating hypothesis or suggest solutions; collecting, organising and evaluating data; making deduction and reaching conclusion and at last carefully testing the conclusion to determine whether they fit the formulating hypothesis” According to D.sleinger and M.stephenson, in the encyclopaedia of social sciences defined research as, “the manipulation of things, concepts or symbols for the purpose of generalising to extend, correct or verify knowledge, whether that knowledge aids in construction of theory or in the practice of an art” OBJECTIVES OF RESEARCH: 1. To gain familiarity with the phenomenon or to achieve new in size into it. 2. To portray accurately the characteristics of a particular individual, situation or a group. 3. To determine the frequency with which something occurs or with it is associated with something else. 4. To test a hypothesis of a casual relationship between variables. IMPORTANCE OF RESEARCH: 1. It gives the research the necessary training in gathering material and arranging them; participation in the field work when required; training in techniques for the collection of data appropriate to particular problem; in the use of statistics, questionnaires, control experimentation and in recording evidence; sorting it out and in recording evidence; sorting it out and interpreting it.
    [Show full text]
  • AN OVERVIEW S. Akinmayọwa Lawal
    LAPAI INTERNATIONAL JOURNAL OF MANAGEMENT AND SOCIAL SCIENCES A Publication of the Faculty of Management & Social Sciences, IBB University, Lapai, Niger State-Nigeria Vol. 11 No.2, December, 2019 ISSN: 2006-6473 UNDERSTANDING SOCIAL SCIENCE RESEARCH: AN OVERVIEW S. Akinmayọwa Lawal ([email protected]) +2348058536815 Department of Sociology, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria Abstract Social science research is a method to uncover social happenings in human societies. Through social research, new knowledge is derived to help societies progress and adapt to change. Today, the concept of social science research has become important to researchers especially for those in the social sciences. Through social research, the social world is better understood as ongoing, emerging, re-merging and newly emerging social problems are known. More so, solutions are derived through social research. This paper discusses the concept of social science research. It explains the origins of social science research and its benefits. The paper gives insight on the nature of social science research showing the two major approaches (quantitative and qualitative) of social science research. The paper discusses the forms of analysis employed by quantitative social science researchers and qualitative researchers in doing social science research. The similarities and dissimilarities between both approaches are explained. The paper provides a social science research process and programme intervention framework. The framework shows core attributes and elements of social science research used to address diverse social issues in society. In conclusion, social science research remains a vital process to address societal challenges and to proffer solutions on social issues based on globally accepted scientific processes.
    [Show full text]
  • Free Software Statistics
    Free Software click here to return to methods page click here to return to social change page This page lists primarily statistical software, along with mapping, spreadsheets, database, stuff to do data analysis or management. At the bottom of this page, I list some pages that link to other free software and computer related stuff, like browsers, office suites, computer security, etc. Please note: I've only used a few of these software programs a little bit, so I can't say much about how good they are, whether they crash, have viruses, or much else about them. If you use them, please let me know how well they work. If there are any major problems, I'll take them off this list. I'm sorry to add the usual disclaimer that, while I don't expect any probems with them, if you use any of these, I can't be responsible for any problems that may occur. Also, I'm not necessarily recommending any, just providing info and links. Statistics There are many free statistical programs. Here http://en.citizendium.org/wiki/Free_statistical_software for an article at Citizendium about free statistical software (draft as of April 2009). Also see here http://gsociology.icaap.org/methods/softsum.html for a brief summary of some of the programs. Several of these stat programs were reviewed in an article in the Journal of Industrial Technology, (Volume 21-2, April 2005). http://www.nait.org/jit/current.html "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" Ms.
    [Show full text]