Page 146 - DLIS401_METHODOLOGY_OF_RESEARCH_AND_STATISTICAL_TECHNIQUES

Jovita Kaur, Lovely Professional University Unit 10: Data Analysis Using Software Packages

Unit 10: Data Analysis Using Software Packages Notes

CONTENTS
Objectives
Introduction
10.1 SAS
10.2 SPSS
10.3 STATA

10.4 MINITAB
10.5 MATLAB
10.6 S-PLUS and R
10.7 Summary
10.8 Keywords

10.9 Review Questions
10.10 Further Readings

Objectives

After studying this unit, you will be able to:

• Describe SPSS and SAS.
• Define STATA
• Explain MINITAB and MATLAB

• Describe S-PLUS and R.

Introduction

Many statisticians use several of the statistical packages at the same time. The core statistical
capabilities exist in each of the packages. Each of the packages has its own strengths and ease
of use features for the different types of analysis. We used some of the most popular statistical
packages, which were available to us.

10.1 SAS

Some features of SAS:
(a) A very complete package for statistical analysis.
(b) Can link to Access Database via ODBC.

(c) Data can be put in several different locations including mainframes.
(d) Can be run on several different platforms i.e. large mainframe computers down to PC’s.
(e) SAS programming is used as a means to access the data for several other purposes
besides statistical analysis. SAS is an integrated suite of software tools used for purposes

LOVELY PROFESSIONAL UNIVERSITY 141