Applied Statistics

Paper Code: 
HCT 226
Credits: 
4
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to-

  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.
  3. To apply statistical procedure to analyze numerical data and draw inferences.

 

Course Outcomes (COs):

Course

Learning Outcomes                   (at course level)

Learning and Teaching Strategies

Assessment Strategies

Paper Code

Paper Title

 

 

 

HCT 226

 

 

 

 

Applied Statistics

(Practical)

 

The students will be able to –

COCT57:Identification of various types of data measurement tools/tests/procedures and understanding the concept of standardization and reliability and validity

COCT58:Develop skill to organize the data and effectively use appropriate quantitative and qualitative statistical software for analysis of data

COCT59:Draw conclusions and interpretations from the analyzed data

COCT60:Classify data on percentage basis and write report with tables and graphs

Approach in Teaching:

Discussion,  Power Point Presentation

 

Learning Activities for the Students:

Self-Learning Projects

Report Writing, Power Point Presentations,  Semester End Examination

 

 

CONTENTS

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

  • Frequency distribution, histogram, frequency polygons, ogive.                                                                                                                                2 hrs
  • Measures of Central Tendency, Measures of Variation.                                                                                                                                         5 hrs
  • Coefficient of correlation, Regression and prediction.                                                                                                                                             5 hrs
  • Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxcontingency tables.                                                                      7 hrs
  • Application of Student’s t-test for small samples- test of significance of single mean, difference in means.                                                                                             4 hrs
  • F-test for two sample variances.                                                                                                                                                                             3 hrs
  • Analysis of Variance- one-way classification, two-way classification with and without replication.                                                                                                                                                                                          4 hrs

 

Essential Readings: 

Suggested Text Books:

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

Suggested Reference Books:

  • 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.

E-Resources:

 

 

 

 

 

Academic Year: 
2023-2024
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