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Course Detail

Course Name Analysis using Statistical Tools Lab
Course Code 24CSA582
Program M. Com. (Finance & Systems)
Semester I
Credits 3
Campus Amritapuri

Syllabus

Unit 1

Introduction to SPSS – need – uses – Skills required – scope – SPSS windows – common buttons –
commonly used windows – output window – printing output.

Unit 2

Structure of data file – creating – editing data file – entering data – editing.

Unit 3

Managing data – computing new variables – recording – sorting cases – merging files – replacing missing values.

Unit 4

Producing graphs and charts – bar graphs, line graphs – pie charts – Descriptive Statistics – mean –median – mode – variance – standard deviation.

Unit 5

Different types of analysis – Chi-Square – t-Test – correlation – regression – types of regression in application level, simple linear regression – multiple regression, regression modelling.

Course Objectives and Outcomes

Course Objective: To familiarize students in application of SPSS software to enable them to easily perform complicated quantitative analysis.

Course Outcomes:

CO1 Understanding of basic practice of statistics by using SPSS
CO2 Application of data management and data analysis using SPSS
CO3 Application of advanced SPSS for analyzing project data.
CO4 Knowledge regarding data base management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations through SPSS
CO5 To perform data checking and create simple tables and charts.

Text / Reference Books

Textbooks:

  1. S.L. Gupta, Hitesh Gupta – SPSS 17.0 for Researchers – International Book House
  2. Darren George, Paul Mallery – SPSS For Windows Step By Step: A Simple Study Guide And Reference, 17.0 Update – Pearson Education

Reference Books:

  1. Lee A. Kirkpatrick, Brooke C. Feeney – A Simple Guide to SPSS for Version 17.0 – Wadsworth Publishing
  2. SPSS Inc. – SPSS 17.0 Integrated Student Version – Pearson

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