Course Details
Subject {L-T-P / C} : SM6471 : OR Laboratory { 0-0-2 / 2}
Subject Nature : Practical
Coordinator : Dr. Vikas Thakur
Syllabus
Data management
1. Listing, replacement and computation of data
2. Identifying, selecting, recording and sorting of data
Data visualization
Creating and developing graphs
Descriptive Analysis
1. Measures of central tendency
2. Chi-square analysis
3. Bi-variate and partial correlation
4. T-tests
5. One-way and two-way ANOVA
6. Simple and multiple linear regression analysis
7. Factor analysis
8. Cluster analyis
Course Objectives
- Statistical Package for the Social Sciences (SPSS) is used to solve complex statistical analysis created for the management and statistical analysis of the social science data.
Course Outcomes
The outcome of this course is to make the students understand the application of operation research and solve problems using decision making methods. Using statistics, the students will be able to learn more about data management and apply statistical tools to analyze data and draw inferences to solve real-world problems.
Essential Reading
- Anderson, D.R., Sweeney, D.J., Williams, T.A, Martin, K,, An Introduction to Management Science: Quantitative Approach to Decision Making, South Western, 13th Edition, 2012.
- Kothari, Quantitative Techniques, Vikas, 3rd Edition, 1996.
Supplementary Reading
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