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IBM SPSS Statistics v20 Ñ…32-x64 & Amos Multilingual |
Item Number :
1000020322 |
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Quantity |
Unlimited |
Condition
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New |
Status |
Open |
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The auction is being watched by 1 users |
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Description |
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IBM SPSS Statistics - a full-featured system designed to solve business and research problems using data analysis. Using IBM SPSS Statistics, you can effectively analyze data, visualize the results in tables and charts, as well as to disseminate and implement the results.
Key Features: Data access and data management: Reading Excel files Reading SAS data files 7, 8 or 9 versions Ability to work simultaneously with several sets of data Support for OLE DB data sources Ability to import and export data in PASW Data Collection Interviewer Web Access to databases by means ODBC (Oracle, SQL Server, IBM AIX) Unicode Support Export data to SAS and the current versions of Excel The constructor exports to the database Designer data restructuring Designer dates and times Search for duplicate observations Visual categorization Means of copying data properties
Graphics: Designer diagrams, allowing you to quickly create any chart you need Selection bar graphs, allowing to choose the best version of the graphical representation of your data Language charting (Graphic Production Language) Charts for variables with multiple responses Diagram with two axes Y ROC curves Weekend results: Export Results to MS Office: Excel / Word / PowerPoint Export Results to PDF Export results to HTML format Means to control how OMS Ability to view the output results PASW Statistics by other users PASW Smartreader picture
Automation: Improved syntax editor with support for code completion and color-coded instructions Support for programming languages ??Python and R The ability to create custom procedures and dialog boxes
Title: IBM SPSS Statistics 20 OS: Windows XP, Windows Vista, Windows 7 Language: Multi Medicine:-EQUiNOX About IBM SPSS Amos IBM SPSS Amos - it's easy to use tool for modeling with structural equations. Her models are more general than taken separately by regression or factor analysis. It's easy to set, view and modify the model by means of drawing tools, and then assess its adequacy, adjust, re-run and print the results. No need to manually operate with matrices or draw diagrams to present results
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daosde ,
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