spss 21 pc mac

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sales price : $ 54.00
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This is full retail version not academic or student oem version.you can use it forever have no time limite.comes only a dvd-r disk and all code needed,step by step installation instruction.

World wide shipment,you will get it within 8 working days.

spss 21 pc mac

IBM SPSS Statistics is a leading statistical software product used to solve business and research problems by means of ad-hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Organizations use IBM SPSS Statistics to help:

Quickly understand large and complex datasets using advanced statistical procedures that can provide high accuracy to drive quality decision making
Reveal deeper insights and provide better confidence intervals via visualizations and geographic spatial analysis
Process and deploy analytics faster with flexible deployment options
Build a predictive enterprise making the business more agile and maximizing return on investment
Analytics plays an increasingly important role in helping an organization achieve its objectives. The IBM SPSS Statistics family delivers the core capabilities needed for end-to-end analytics. To ensure that the most advanced techniques are available to a broader group of analysts and business users, you get enhancements to the features and capabilities of IBM SPSS Statistics Base and its many specialized modules.

The new simulation modeling feature within IBM SPSS Statistics Base uses Monte Carlo simulation techniques and is designed to account for uncertainty in inputs for predictive models. In this approach, uncertain inputs are modeled with probability distributions (such as the triangular distribution), and simulated values for those inputs are generated by drawing from those distributions. The simulated values are then used in the predictive model to generate an outcome. The process is repeated many times (typically, thousands or tens of thousands of times), resulting in a distribution of outcomes. The distribution of outcomes can then be used to answer questions of a probabilistic nature.

Monte Carlo simulation techniques can be used to help in analysis across many sectors:

Manufacturing - Evaluate how the cost of materials affects profit.
Advertising and marketing - Simulate various advertising budget amounts to see the effect on total sales.
Energy and utilities - See how temperature impacts energy usage.
Finance - Understand uncertainties associated with investment planning.
IBM SPSS Statistics V21.0 now has a data file comparison tool, which gives you the ability to compare two datasets or two data files to identify any discrepancies between them. There are two levels of comparison. The first is a comparison of the document metadata and the second is a case-by-case comparison of selected variable values.

With SPSS Statistics, you can now use a Java™ plug-in to call SPSS Statistics functionality from a Java application and have SPSS Statistics output appear in the Java application. You can also use Java with SPSS Statistics to control, react to, and embed program logic into your jobs and extend the functionality of SPSS Statistics.

Integrating with other IBM products is always a goal and SPSS Statistics now provides the ability to easily import IBM Cognos® Business Intelligence data. You can read custom data with or without filters, and import predefined reports from IBM Cognos into SPSS Statistics. You can import IBM Cognos data with Cognos calculations or use aggregated data from IBM Cognos .

IBM SPSS Amos for Structural Equation Modeling now includes an alternative nongraphical method for specifying a model where nonprogrammers can easily specify a model without drawing a path diagram by entering the model into a spreadsheet like table that can be modified.

IBM SPSS Statistics V21.0 helps deliver increased security by introducing password protection of data and output files (encrypting) to prevent others from seeing confidential information. SPSS Statistics also helps deliver increased productivity and efficiency with improvements to pivot tables by adding various new features for sorting operations, easier navigation, search operations, and many more.

Productivity enhancements are also the goal of this release, with improvements to IBM SPSS Statistics Server technology. IBM SPSS Statistics Server makes working with large data faster and more scalable and improves overall stability. IBM SPSS Statistics Server now has better scalability and performance through load balancing with IBM SPSS Collaboration and Deployment Services where client connections will be distributed among SPSS Statistics servers based on the server load. Also, for security restricted environments, you can run as a nonroot user on UNIX™ and Linux™ . IBM SPSS Statistics Server now offers easier administration by allowing the client and server to be on different release levels.

Additional productivity and performance enhancements include:

Improved and faster file merging.
Improved usability with one click descriptive information from the Data Editor.
Improved storage by compressing the data file.
Pivot table output for Generalized Linear Mixed Models (GLMM)
Capabilities

Build better models even when you do not have the right data or want to explore different (what-if) scenarios by creating simulated datasets based on existing data and known parameters using Monte Carlo simulation techniques.

Build better models even when you do not have the right data or want to explore different (what-if) scenarios by creating simulated datasets based on existing data and known parameters using Monte Carlo simulation techniques.
Providing faster performance that can help lead to more accurate results, increased productivity and effectiveness using a range of specialized techniques:

Better scalability and performance with load balancing in IBM SPSS Collaboration and Deployment Services where client connections are distributed amongst SPSS Statistics servers based on the server load.
Single sign-on between the SPSS Statistics client and server to support production jobs submitted to the server.
For security restricted environments, there is the option to run the SPSS Statistics server as a nonroot user.
Improved storage space by compressing the data files.
To simplify enterprise upgrades, backward and forward version compatibility of clients with servers.
For example, the SPSS Statistics V21.0 client is compatible with the SPSS Statistics server V20.0 and the SPSSS Statistics V20.0 client is compatible with the SPSS Statistics V21.0 server.

Compare two data files or data sets to ensure the data values and records are compatible.
Security improvements via password protection of data and output files (encryption) to help prevent others from seeing confidential information.
Improved and faster file merging.
Improved pivot tables with various newly added features such as easier navigation and sorting operations.
Easier model specification in IBM SPSS Statistics Amos V21.0, which provides a way for nonprogrammers to specify a model (entering the model into a spreadsheet like table that can be modified) without drawing a path diagram.
Integrating with other technologies and tools making it easy to access common data types, external programming languages, and file types:

Use a Java plug-in to call SPSS Statistics functionality from a Java application and have SPSS Statistics output appear in the Java application. You can also use Java with SPSS Statistics to control, react to, and embed program logic into your jobs and extend the functionality of SPSS Statistics.
Import IBM Cognos Business Intelligence data into SPSS Statistics for additional analysis.