APPLIED STATISTICS (PRACTICAL)

Paper Code: 
25HHD226
Credits: 
4
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

25HHD 226

APPLIED STATISTICS

(PRACTICAL)

 

 

 

 

COHD 71 :To apply SPSS skills to manage data, including entering, organizing, saving, creating variables, and entering data for analysis.

COHD 72: To describe data using Descriptive Statistics & Graphs in SPSS.

COHD 73: To Examine Relationships between variables by using Correlation & Regression technique.

COHD 74: To Analyze and evaluate statistical hypotheses by comparing groups to determine significance

COHD75: To compile comprehensive practical records for numerical problems related to describing data, examine relationship and for comparing groups using SPSS.

COHD76: Contribute effectively in course specific interaction

 

Approaches in Teaching:  Interactive Lectures, Brain storming sessions, Power Point Presentation,

 

 

Learning activities for the Students:

Self learning assignments, field practicals.

Quiz. PPT, Group projects, assignments, CA test , Semester End Examination.

 

Unit I: 

CONTENTS

Note:  Students should be given hand-on experiences to use appropriate software packages for selected statistical analysis.

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

 

Unit II: 
Unit III: 
Unit IV: 
Unit V: 
Essential Readings: 

·              Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.

Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.

References: 

SUGGESTED READINGS::

·              Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.

·              Goon, Gupta and Das: Fundamentals of Statistics Vol. I and II.

·              Snedecor and Cochran: Statistical Methods, Oxford and IBH Publishers.

·              Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.

Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi

Academic Year: 
2025-2026
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