Analysis through Statistical Software (Practical)

Paper Code: 
25PSY227
Credits: 
04
Contact Hours: 
120.00
Max. Marks: 
100.00
Objective: 

This course will enable students to develop proficiency in using statistical software for data analysis, including understanding the basics of SPSS, conducting descriptive and bivariate analyses, performing t-tests, and utilizing ANOVA and chi-square techniques for data interpretation.

 

Course Outcomes: 

COURSE

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

25PSY227

Analysis through Statistical Software

(Practical)

 

 

CO97: Determine the basics of SPSS software.

CO98: Comprehend the process of descriptive statistics through software.

CO99: Demonstrate ability to conduct bivariate analysis of data.

CO100: Compile data and conduct t-test analysis through software.

CO101: Support the use of ANOVA and chi-square techniques of data analysis.

CO102: Contribute effectively in course-specific interactions.

Approach in teaching:

Discussion, Demonstration, Action Research, Project, Field Trip

Learning activities for the students:

Field activities, Simulation, Presentation

Observation, Presentation Report writing

 

 

 

 

Exercise:

 

 

1

Basics of SPSS and Graphical Representation of Data

Introduction to SPSS, Data entry in SPSS, Graphical Representation of Data

 

 

2

Univariate Analysis

Measures of Central Tendency, Dispersion, Skewness and Kurtosis, Normal probability curve.

 

 

3

Bivariate Analysis

Correlation, Regression Analysis

 

 

4

t-tests

One sample t test, Two independent samples t test, Paired samples t test

 

 

5

Analysis of Variance and chi-square test

One-way ANOVA, Two Way ANOVA, Chi-square test

 
 

 

 

Essential Readings: 
  • Field, A. (2018). Discovering Statistics using IBM SPSS Statistics (5th edition). SAGE: New Delhi.
  • Meyers, L.S. (2013).  Performing Data Analysis Using IBM SPSS. Wiley: New Jersey.

E-Resources:

 

Academic Year: 
2025-2026
  • Printer-friendly version
  • PDF version