Research Methodology

Paper Code: 
HCT 222
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to-

  1. Understand the meaning, purpose, approaches and procedure of research.
  2. Apply statistical techniques to research data for analyzing and interpreting data carefully.
  3. Understand the fundamental principles and techniques of methodology concerning research.

 

Course Outcomes (COs):

Course

Learning Outcomes                        (at course level)

Learning and Teaching Strategies

Assessment Strategies

Paper Code

Paper Title

 

 

 

 

HCT 222

 

 

 

Research Methodology

(Theory)

 

The students will be able to –

COCT39: Characterize various kinds of research objectives of doing research, research process, research designs and sampling

COCT40: Develop concept of statistical research techniques for data interpretation

COCT41: Compare and contrast qualitative and quantitative data analyses

COCT42: Classify data for hypothesis texting procedures and report writing

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
  • 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
  • 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
  • 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: 
2022-2023
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