APPLIED STATISTICS-PRACTICAL

Paper Code: 
25DHCT716
Credits: 
02
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to –

  1. Understand the role of statistics and computer applications in research.
  2. Apply statistical techniques to research data for analyzing and interpreting data carefully.

 

Course Outcomes: 

Course

Learning outcomes

(at course level)

Learning and

teaching strategies

Assessment

Strategies

Course Code

Course Title

25DHCT716

Applied Statistics  (Practical)

 

CO297:Create, and analyse data using SPSS.

CO298:Assess statistical hypotheses and significance of group differences using F-test and ANOVA.

 CO299:Develop proficiency in compiling records for numerical problems, and other statistical tests and in facing viva voce exam.

CO300: Contribute effectively in course-specific interaction

Approach in teaching:

Interactive Lectures, Discussion, Powerpoint Presentations, Informative videos, Group discussion

 

Learning activities for the students:

Self learning assignments, Effective questions, Presentations

Quiz,

Powerpoint presentations, Individual and group projects,

Open Book Test, Semester End Examination, Discussion

 

Unit I: 
CONTENTS

The following test should be perform on computer

●        Formation of frequency distribution table (inclusive and exclusive)

●        Graphical representation- histogram, frequency polygon, ogives

●        Measures of Central Tendency- Mean, Median and Mode

●        absolute and relative Measures of Dispersion- range, Quartile Deviation, Mean Deviation, Standard Deviation

●        Coefficient of correlation- Karl pearson and Spearmens rank

●        Fitting of Regression lines and prediction.

●        normal Distribution-area under the curve

●        Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc contingency tables, testing of single variance

●        Application of Student’s t-test for small samples- test of significance of single mean, difference in means, independent and paired T test.

●        F-test for two sample variances.

  •   Analysis of Variance- one-way classification, two-way classification 
Essential Readings: 
  • Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
  • Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal, Allahabad.

 

Academic Year: 
2025-2026
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