APPLIED STATISTICS (PRACTICAL

Paper Code: 
HFN 226
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to:

  •  Understand the role of statistics  and computer applications in research.
  •  Apply statistical techniques to research data for analyzing and interpreting data carefully.

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

  • Frequency distribution, histogram, frequency polygons,  ogive.
  • Measures of Central Tendency, Measures of Variation.
  • Coefficient of correlation, Regression and prediction.
  • Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc contingency tables.
  • 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 with and without replication.
Essential Readings: 
  1. Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
  2. Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.

 

References: 
  1. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
  2. Goon, Gupta and Das: Fundamentals of Statistics Vol. I and II.
  3. Snedecor and Cochran: Statistical Methods, Oxford and IBH Publishers.
  4. Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.
  5. Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi

 

 

Academic Year: 
2017-2018
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