APPLIED STATISTICS

Paper Code: 
24CFSN706
Credits: 
2
Contact Hours: 
4.00
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

 

 

24CFSN706

 

 

 

Applied

Statistics

(Practical)

CO107: Create, and analyse data using SPSS.

CO108: Assess statistical hypotheses and significance of group differences using F-test and ANOVA.

CO109: Develop proficiency in compiling records for numerical problems, and other statistical tests and in facing viva voce exam.

CO110: 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: 
  1.  Kumar, R.  (2005) Research Methodology : A Step by Step Guide for Beginners. Sage Publications, New Delhi. 
  2. Kothari, C. R. (2015) Research Methodology: Methods and Techniques 2nd Ed. New Age International Pvt Ltd, New Delhi. 
  3. Ahuja, R. (2014). Research Methods. Rawat Publications, Jaipur.

 

 

References: 

1.     Kerlinger F. N. and Lee, H.B. (2000) Foundations of Behavioural Research 4th Ed. Harcourt College Publishers 

2.     Badarkar, P.L. and Wilkinson T.S. (2000): Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai

3.     Best, J.W. (2016) Research in Education, Prentice Hall of India, New Delhi.

4.     Chandra, S.S. and Sharma, R.K. (2004). Research in Education, Atlantis Publishers, New Delhi. 

 

 

 

           E-RESOURCES: 

1.     https://www.slideshare.net/jassayash/cr-kothari-research-methodologypdf

2.     https://www.slideshare.net/Jigneshkariya/research-design-73573207

3.     https://slideplayer.com/slide/12919727/

4.     https://slideplayer.com/slide/5784787/

 

Academic Year: 
2024-2025
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