Coming soon
Practical
This course will enable the students to -
- 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 Outcomes (COs):
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Course |
Course outcome |
Learning and teaching strategies |
Assessment Strategies |
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|---|---|---|---|---|
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Paper Code |
Paper Title |
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CENV 706 |
Practical |
Upon completion of this course, students will: CO77: Prepare the data or analysis, including checking for errors, missing data, and outliers, and transforming variables as needed CO78: Calculate and interpret descriptive statistics, such as measures of central tendency, dispersion, and correlation, and use graphical displays to summarize and visualize the data. CO79: Apply inferential statistics, such as hypothesis testing and confidence intervals, to draw conclusions and make predictions about population parameters based on sample data. CO80: Use the basic computer applications required for preparation and presentation of data |
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 |
CONTENTS
- 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 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.
