RESEARCH METHODOLOGY

Paper Code: 
HCT 222
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 
  • To understand the role of statistics and computer applications in research.
  • 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 222

RESEARCH METHODOLOGY

 

COCT24: Demonstrate knowledge of the scientific method, purpose and approaches to applied statistics

 

COCT25: Apply statistical research techniques for data interpretation

Approach in Teaching :

Discussion, Interactive Lectures, Power Point Presentation

 

Learning Activities for the Students:

 

Self Learning Assignments, Field Trips

Quiz, Power Point Presentations, Chart/Poster Presentation,  Individual and Group Projects,  Semester End Examination

 

 

10.00
Unit I: 
Introduction to Statistics
  • Statistics- Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution, Diagrammatic (one- dimensional and two- dimensional) and Graphical presentation of data (Histogram, Frequency Polygon, Frequency curve and ogives)
  • Measure of Central Tendency- Mean, Median and Mode, their properties, merits and demerits.
  • Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and standard deviation, coefficient of variation. Moments, Skew ness and Kurtosis (their absolute and relative measures)

 

8.00
Unit II: 
Probability Distributions, Correlation & Regression Analysis
  • The formal and empirical concept of Probability. Idea of  Binomial distribution, Poisson
  • Distribution. Properties of Normal Probability Curve and its applications.
  • Correlation Analysis- Definition and concept, types and measures of studying correlation (Karl Pearson’s coefficient of correlation, its assumptions, properties, merits and demerits, Spearman’s Rank correlation coefficient)
  • Regression Analysis- Definition, concept, uses and properties. Least Square Methods, Regression Coefficients, Fitting of Regression lines.

 

 

9.00
Unit III: 
UNIT III
  • Sampling Distribution and Standard Error. Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance, large sample test for proportions, single mean and difference in two means.

 

 

10.00
Unit IV: 
UNIT IV
  • Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). Chi-square test for testing normal population variance. 
  •  
  • Test for goodness of fit independence of attributes using 2x2 and rxc contingency tables.

 

8.00
Unit V: 
UNIT V
  • Definition of F-test, application of F-test for testing of equality of two variances.
  • Analysis of Variance-Concept, assumptions, Basic ideas of one-way and two-way classification with simple questions
Essential Readings: 
  • Marry Show Ryan, A study in human Behavior by New York, Holt Rinehart & Winston, 1966.
  • J.G. Flugal, Psychology of Clothes.                                                          
  • Rose & Cranz, Concepts of Clothing.
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.

 

Academic Year: 
2019-2020
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