APPLIED STATISTICS

Paper Code: 
24CCND706
Credits: 
2
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

24CCND706

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, Power Point Presentations, Informative videos, group discussion

Learning activities for the students:

Self learning assignments, Effective questions, presentations, Field trips

Quiz, Poster Presentations,

Power Point Presentations, Individual and group projects,

Open Book Test, Semester End Examination, discussion, demonstration

 

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- karlpearson 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

 

 

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

 

Academic Year: 
2024-2025
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