Course Outcomes (COs):
| Course | Learning outcome (at course level) | Learning and teaching strategies | Assessment Strategies | |
| Course Code | Course Title | |||
| 25SECO 401 | Research Methodology through SPSS (Practical) | Students will - CO1: analyse the basics of SPSS and perform data presentation and solve problems of central tendency, dispersion, skewness and kurtosis using SPSS CO2: perform correlation and regression analysis through SPSS CO3: interpret the application of t tests and perform ANOVA and chi-square tests using SPSS. CO4: create a document pertaining to different types of analysis using SPSS. CO5: defend orally the findings of the analysis using SPSS CO6: contribute effectively in course-specific interaction. | Approach in teaching: Interactive Lectures, Discussion and Demonstration. 
 Learning activities for the students: Practice modules and Assignments. | Practical File Preparation, Assignments, Semester end examinations. | 
· One sample t test
· Two independent samples t test
Paired samples t test
Suggested Reading:
Andy Field, Discovering Statistics Using IBM SPSS Statistics,SAGE Publications, 2017.
E-Resources:
https://edge.sagepub.com/field5e/student-resources/datasets
https://wiley.mpstechnologies.com/wiley/BOBContent/searchLPBobContent.dohttps://