Applied Statistics

Paper Code: 
HHD 226
Credits: 
4
Contact Hours: 
4.00
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 (CO’s):

Course

Learning Outcomes

 (at course level)

Learning and Teaching Strategies

Assignment Strategies

Paper Code

Paper Title

HHD 226

Applied Statistics

 

Student will–

COHD 62 : The Students are able to Enter, Organize, and Save data in a SPSS.

COHD 63 : Learn to Create variables and Enter data for Analysis in SPSS.

COHD 64 : Students will be able to describe data using Descriptive Statistics & Graphs in SPSS.

COHD 65 : Able to Examine Relationships between variables by using Correlation technique.

COHD 66 : Able to carry out a Statistical Analysis that can test hypotheses.

COHD 67  : From Testing of Hypothesis Portion Students will learn to Compare groups to determine      if there are significant differences between those groups or not.

 

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.

 

 

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

 

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: 
2021-2022
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