Data Analysis through SPSS

Paper Code: 
ECO 143
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
12.00
Unit I: 
Introduction to SPSS

About SPSS, Data View and Variable View; Entering Data in SPSS; Measurement Scale; Saving Data File; Importing Data from Excel; Performing Statistical Procedure, Editing Output, Saving and Copying Output; Manipulating Data-Sorting and Selecting Cases, Splitting Data File, Merging Data from Separate Files.

12.00
Unit II: 
Descriptive Statistical Procedures

Descriptive Statistical Procedures; Data Transformation; Data Cleaning - Missing Values, Out-Of-Range Values and Outliers-Boxplot. Normality Tests-Skewness, Kurtosis, P-P Plots, Q-Q Plots, Shapiro-Wilk and Kolmogorov-Smirnov Tests.

 

12.00
Unit III: 
Visual Representation of Data

Visual Representation of Data; Correlation and Regression; Principal Components Analysis.

 

12.00
Unit IV: 
Parametric Tests

Parametric Tests- one sample t test, 2 independent samples t-test, paired samples t test, one-way ANOVA and 2-way ANOVA.

 

 

 

12.00
Unit V: 
Non-parametric test

Non-Parametric Test-One Sample Wilcoxon Signed-Rank Test, 2 Independent Samples Mann-Whitney Test, Paired Sample Wilcoxon Signed-Rank, Kruskal-Wallis Test, Friedman Test, Chi-Square Test.

Essential Readings: 
  1. Andy Field, Discovering Statistics using SPSS, SAGE, New Delhi, 2013 (4th Edition)
  2. A. Rajathi  and P. Chandran,SPSS For You, MJP Publishers, Tamil Nadu.

 

References: 
  1. Elliot T. Berkman and Steven P. Reise, A Conceptual Guide to Statistics Using SPSS(2011), SAGE

 

Academic Session: 
2022-23
  • Printer-friendly version
  • PDF version