Coming soon
Practical: Statistical Analysis
- Prepare data for analysis using appropriate methods and techniques
- Apply statistical methods to real-world problems and draw appropriate conclusions based on the results.
|
Course |
Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
|
|---|---|---|---|---|
|
Course Code |
Course Title |
|||
|
25CENV 706 |
Practical |
Upon completion of this course, students will: CO117: Accurately calculate measures of central tendency and dispersion and perform statistical tests such as t-test, correlation & regression, ANOVA, etc., using Microsoft Excel, or other relevant software. CO118: Maintain detailed practical records documenting data classification, tabulation, analysis procedures, and results obtained through manual and using software tools CO119: Effectively communicate their statistical findings during viva-voce examinations, articulating the rationale behind statistical analyses CO120: Contribute effectively in course-specific interaction |
Approach in teaching: Interactive Lectures, Group Discussions, Case studies, Computer-aided instructions, tutorials Learning activities for the students: Problem solving, concept formation, assigned questions, simulations, surveys |
Quiz, Assignment Tutorials, Class test, Assignments, Semester End Examination |
- Classification and tabulation of data in Excel/any other software
- Create and interpret graphical displays of data, such as histograms, box plots, and scatter plots.
- Calculation of the following (Manual and using SPSS/Microsoft Excel/any other software)
- Measures of Central Tendency (Mean, Mode, Median)
- Measures of Dispersion (Standard deviation)
- Correlation (Karl Pearson & Spearman’s Rank Correlation)
- Regression
- Chi-square test
- T-test (Paired and Unpaired)
- F-test & Analysis of variance ANOVA
Note: Any other practical exercise (related to theory) may be conducted besides the ones mentioned above.
