APPLIED STATISTICS

Paper Code: 
HCT 226
Credits: 
4
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 
  1. To understand the role of statistics and computer applications in research.
  2. To apply statistical techniques to research data for analyzing and interpreting data carefully.

Course Outcomes (CO’s):

Course

Learning Outcomes        (at course level)

Learning and Teaching Strategies

Assessment Strategies

Paper Code

Paper Title

HCT 226

APPLIED STATISTICS

 

COCT36: Identification of various types of data measurement tools/tests/procedures and understanding the concept of standardization and reliability and validity

 

COCT37: Develop skill to organize the data and effectively use appropriate quantitative and qualitative statistical software for analysis of data

 

COCT38: Draw conclusions and interpretations from the analyzed data and write reports

Approach in Teaching :

Discussion,  Power Point Presentation

 

Learning Activities for the Students:

 

Self Learning Projects

Report Writing, Power Point Presentations,  Semester End Examination

 

 

Unit I: 
Course Content:
  1. Frequency distribution, histogram, frequency polygons, ogive.                                                                          2Hrs

 

  1. Measures of Central Tendency, Measures of Variation.                                                                                              5Hrs

 

  1. Coefficient of correlation, Regression and prediction.                                                                                       5Hrs

 

  1. Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc ontingency tables.                                                                                                                                                 7Hrs

 

  1. Application of Student’s t-test for small samples- test of significance of single mean, difference in means.                                                                                                    4Hrs

 

  1. F-test for two sample variances.                                                                                                                                  3Hrs

 

  1. Analysis of Variance- one-way classification, two-way classification with and without replication.                                                                                                              4Hrs

 

 


 

Essential Readings: 
  • Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
References: 
  • 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: 
2019-2020
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