APPLIED STATISTICS (PRACTICAL)

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

 

Course Objectives:

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.
  •  

 

Course Learning Outcomes (COs):

 


Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Paper Code

Paper Title

 

 

 

 

 

 

 

 

HFN 226

Applied Statistics

 (Practical)

 

 

 

 

 

The students will be able to –

COFN50: The students are able to understand enter, organize, and save data in a SPSS.

 

COFN51: Calculate variables and prepare data for analysis in SPSS.

 

COFN52: Understand the basic workings of SPSS, and perform basic statistical analyses.

 

COFN53: To perform database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations.

COFN54: Able to carry out a statistical analysis that can test hypotheses.

 

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:

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