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 

 

References: 
  • Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
  • Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahabad. 

 

 

Academic Year: 
2024-2025
  • Printer-friendly version
  • PDF version