Sidhiqul Akbar

ROLL NO 39

Contents Statistical package introduction

Statistical Packages

Introduction to SPSS

Features of SPSS

SPSS

EXCEL

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.

Statistical packages There are many statistical packages (Stata, SPSS, SAS,

Splus, etc.)

Statistical packages can be used for:

Analysis

Data Manipulation

Data Management

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

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

Public domain statistical packages

Demetra+

CSPro

Epi Info

X-12-ARIMA

BV4.1

GeoDA

MINUIT

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

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

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

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

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

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.

AdvantagesSPSS 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

DisadvantagesRequires annual license

Limited statistical procedures vs R or SAS

Some procedures require purchase of add-on modules

WELCOME TO SPSS

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.

Thank you