FST 70298 Research Methodology

UNIT - I Research: significance, conceptualization of problem – hypothesis, Types of research – Research designs, fundamental, applied – action, exploratory, discipline, experimental, survey, case study and ex post facto. Longitudinal, cross sectional and correlational research. UNIT - II Theory of probability – population sample. Sampling techniques: Research methods – Interview schedule, important methods and data collection, interpretation of results, observation, social mapping, participatory rapid assessment. Writing up research reports and proposal. UNIT - III Statistics – meaning, role of statistics in research- descriptive research – classification, tabulation of data – graphic and diagrammatic representation of data. Measurement of central tendency, variation, dispersion, normal distribution – Mean, median, testing levels of significance – ‘T’ test, F test and X2 test. UNIT - IV Correlation, coefficient of correlation – rank correlation, analysis of variance, types, regression and forecasting–Fitting regression curves, discrimination analysis. UNIT - V Computer applications: MS office-word, excel, power point, internet, Photoshop. Statistical software packages used in research. Software controlled food processing operations, application part in food industry. Software applications for quality control. REFERENCES: 1. Elhance, D.L. (2008). Fundamentals of Statistics. Kitab Mahal, Patna. w.e.f. academic session (2021-2022) Page 25 2. Garret H.P. (2004). Statistics in Psychology and Education. Vallies Fotter and Simons Ltd. Bombay. 3. Kothari, C.R. (2008) Research Methodology. Wishwa Prakashan. New Delhi, India. Rao, K.V. (2007) Biostatistics. Jaypee Brothers medical publishers, New Delhi. 4. Sundar, R.P. & Richard, J. (2003). An Introduction to Biostatistics. Prentice Hall, New Delhi Course Outcomes: Student will be able: a) Understand the methods and role of scientific approach to research. b) Understand the various experimental designs, methods of sampling their analysis and data collection. c) Understand about the different terminology related to measurements, correlation, regression central tendency. d) Knowledge about test of significance of difference between means like t-test, chi-square test. e) Knowledge of correlation and regression. f) Computer applications in food technology like response surface methodology and MS office applications: MS Office