spss

1. Sidhiqul Akbar
ROLL NO 39

2. Contents
 Statistical package introduction
 Statistical Packages
 Introduction to SPSS
 Features of SPSS
 SPSS
 EXCEL

3. Statistical package introduction
 It is a relatively easy package to learn.
 Stata has an easy spreadsheet-style data
representation
 - Stata keeps good records of your actions.
 - It is relatively cheap (both in cost and memory)
 Stata license is perpetual – if you buy it, you own it
forever.

4. Statistical packages
 There are many statistical packages (Stata, SPSS, SAS,
Splus, etc.)
Statistical packages can be used for:
 Analysis
 Data Manipulation
 Data Management

5. Open source statistical package
 ADMB– a software suite for non-linear statistical
modeling based on C++ which uses automatic
differentiation.
 ELKI - a software framework for development of data
mining algorithms in Java.
 Fityk – nonlinear regression software (GUI and
command line)
 gretl – gnu regression, econometrics and time-series
Library

6. Open source statistical package
Contd. …
 JHepWork – Java-based statistical analysis framework for
scientists and engineers. It includes an advanced IDE
and Jython shell.
 Octave – programming language (very similar to Matlab) with
statistical features
 Mondrian (software) - data analysis tool using interactive
statistical graphics with a link to
 OpenEpi – A web-based, open source, operating-independent
series of programs for use in epidemiology and statistics based
on JavaScript and HTML

7. Public domain statistical packages
 Demetra+
 CSPro
 Epi Info
 X-12-ARIMA
 BV4.1
 GeoDA
 MINUIT

8. Public domain statistical package
 Winpepi – package of statistical programs for
epidemiologists
 ADAPA– batch and real-time scoring of statistical
models
 Analytica - visual analytics and statistics package
 BMDP – general statistics package
 CalEst – general statistics and probability package with
didactic tutorials
 DPS – comprehensive statistics package

9. Introduction to SPSS
 SPSS (Statistical Package for the Social Sciences) is
a statistical analysis and data management
software package. SPSS can take data from almost
any type of file and use them to generate tabulated
reports, charts, and plots of distributions and
trends, descriptive statistics, and conduct complex
statistical analyses
 This package of programs is available for both
personal and mainframe computers

10. Features of SPSS
it is easy to learn and use
It includes full range of data management system and
editing tools
 it provides in depth statistical capabilities
It offers complete ploting reporting presentation
features

11. SIX DIFFERENT WINDOWS of SPSS
 The Data Editor
The Output Navigator
The Pivot Table Editor
The Chart Editor
The Text Output Editor
The Syntax Editor

12.  The Data Editor :
The Data Editor is a spreadsheet in which you define your
variables and enter data. Each row corresponds to a case while each
column represents a variable.
 The Output Navigator :
The Output Navigator window displays the statistical results,
tables, and charts from the analysis you performed. An Output
Navigator window opens automatically when you run a procedure that
generates output
.
 The Pivot Table Editor :
Output displayed in pivot tables can be modified in many ways
with the Pivot Table Editor. You can edit text, swap data in rows and
columns

13.  The Chart Editor:
You can modify and save high-resolution charts
and plots by invoking the Chart Editor
 Text Output Editor:
Text output not displayed in pivot tables can be
modified with the Text Output Editor. You can edit the output
and change font characteristics (type, style, coluor, size).
 The Syntax Editor :
You can paste your dialog box selections into a
Syntax Editor window, where your selections appear in the form
of command syntax.

14. Advantages
SPSS offers a user friendliness that most packages are
only now catching up to
GUI based program
Quick descriptive statistics capability
Most popular package in the social sciences
Good for cluster analysis
Runs on Windows, Linux, and Macintosh operating
systems

15. Disadvantages
Requires annual license
Limited statistical procedures vs R or SAS
Some procedures require purchase of add-on modules

16. WELCOME TO SPSS

17. Creating and Manipulating Data in SPSS
 STEP 1: Defining Variables in a New Data Set
 Variables are defined one at a time using the Define Variable dialog
box. This box assigns
 data definition information to variables. To access the Define Variable
dialog box,
 on the top of a column where the word var appears or select Define
Variable from the Data menu
Variable Name: This field describes the name of the variable being
defined. To change the name, place the cursor in this field and type
the name
The variable name must begin with a letter of the alphabet and cannot
exceed 8 characters.
Spaces are not allowed within the variable name. Each variable name
must be unique.

25. Thank you