Download - Statistical Packages
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Statistical Packages
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SPSS
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Statistical Package for Social Science
Developed as a programming language forconducting statistical analysis
Uses graphical and syntactical interface
Can perform simple percentage to complexanalysis
Can handle simple data, binary data,
logarithmic data etc., Has powerful data management function and
programming language
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History
Multinational software company
In 1968 SPSS Statistical software system was
Developed by H.Nie, C.Hadlai Hull and Dale
bent, Three Stanford University graduated
In 1975 SPSS incorporated with Headquarter
at Chicago
In 1984 SPSS/PC+ Introduced for MS-DOS
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Uses
Widely used by
Market research
Health research
Survey
Educational research
Government
Marketing organisation
Others
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Modules
Follows module system
SPSS Programmability extension
SPSS Data validation
SPSS Regression module
SPSS advanced module SPSS Classification trees
SPSS Tables
SPSS exact tests
SPSS Trends SPSS Cojoints
SPSS complex samples
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Features
Accessible via Pull down menu & Programmablewith 4GL command syntax language
Complex applications can only be programmed
Pull down menu will also generate syntax Macro language can be used to write command
language subroutines
Python programmability extension can access theinformation in the data dictionary and data anddynamically build command syntax programs
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Data
Places constraints on internal file structure
Datasets has 2dimesional table structure
Rows represents cases Columns represent measurement
Numeric and string can be entered
Data processing occurs sequentially
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Output
Can be read and write to external data base
tables through ODBC and SQL
Output in proprietary file format (*.SPV file)
Can be read by stand alone reader
Can be exported to text or ms word
Can be captured as PDF, XLS, HTML, XML
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Analysis
Can do
Descriptive statistics
Bivariate statistics
Linear regression
Identifying Groups
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Strengths
Ease of use
User friendly
Covers most routine analysis Presentation quality
University site license
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Weakness
Positioning graphics
Speed differs
Too easy
Learning curve
Lacks many Regression analysis
Difficult to edit output
Problems with importing and exporting data
Need to know statistical terminology
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Minitab
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History
Developed by Pennsylvania state university teamof researchers in 1972
Began as a light version of OMNITAB, a statisticalprogram of NIST
Originally developed to assist faculties to teachstatistics
Second most popular statistical package
Used in teaching and research Used in Six sigma, CMMI and in other statistical
based process improvement methods
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Features
Available in DOS, Macintosh, UNIX, Windows etc.,
Student edition is distributed internationally
Ease to learn and ease to use
Has pull down menus and dialog box
Input- through minitab data window or imported
Macros allow creation of custom operation
Ease transition from macintosh to windows
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Analysis
Can do
Descriptive statistics, test of association, test
of difference, control charts, tables etc.,
Histogram, box plots, regression plots,
scattegrams, bar charts
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SAS
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SAS
Statistical analysis system
Provided by SAS Institute Inc.,
Can do Data entry, retrieval, management and mining
Statistical analysis Report writing and graphics
Business planning, forecasting and decision support
Operational research and project management
Quality improvement
Applications development Data warehousing
Remote computing
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Used in
IT management
Human resource management
Customer relationship management
Business intelligence
Manufacturing
Telecommunication
Government
Environmental Research
Biotechnology
Retail
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Features
GUI exist as front end to facilitate generaton
of SAS program
SAS components are used through
programming interface
SAS Programs- consist of Data step, Procedure
step, macro language
Allows sql programming
Macro programming extension available
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Read and write many different file formats
Process data in many formats
4GL programming language
Built-in statistical and random number function
Comprehensive data and time handling function
SAS ACCESS module allows communication with
data through ODBC Can process files containing millions of rows
Integrated development environment
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STATA
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Stata
General purpose statistical software package
Created by Stata Corp in 1985
Sold as a complete package, not in modules
Used by business and academic world Capabilities include
Data management
Statistical analysis
Graphics Simulations
Custom programming
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Features
Fast, accurate and easy to use
Broad suite of statistical capabilities
Complete data management facilities
Publication-quality graphics
Responsive and extensible
Matrix programmingMata is integral part
Cross platform compatibility
Complete documentations
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S Plus
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S-Plus
For professional statisticians and data analyst
GUI pull down menus and dialog box
Extensive programming through Object oriented
S language S Language developed by researchers from AT& T
Bell labs
Flexibility in user defined functions
Customization of environment
Extensive graphics and hard copy capability
Runs on windows and Unix based platform
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Can generate
Random data from 20 different distributionaltypes
12 different hypothesis testing Including Students t test, wilcoxin test etc.,
Linear, non-linear project pursuit regression
Multivariate analysis
Including graphical methods, cluster analysis,discriminant analysis
Time series analysis
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MATLAB
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MATLAB
Interactive computing environment
For scientific and statistical data analysis andvisualization
Basic objectMatrix Numerical analysis like signal processing, image
processing and statistical analysis can beperformed on matrix
No programming Different Version available for UNIX and PC
platform
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Features
Functions are written in M-file function
M-files can be modified and programmed
Recent addition MATLAB C compiler and C-Mathlibrary
Toolbox collection of m-file functions forimplementing algorithms and functions in an specificarea of interest
2D and 3D visualization of datamesh plot, contour
plot, image plot, histograms Has graphical objectsallowing users to create GUIs in
algorithm packages
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