An overview: Research process and Types of Research, problem formulation,management problem v/s. research problem, .Approaches to Research,Importance of literature review.Business Research Design: Steps involved in a research design.Exploratory research: Meaning, suitability, collection.Descriptive research: Meaning, types of descriptive studies, data collectionmethodsCausal research: Meaning, various types of experimental designs, types oferrors affecting research design.Analytical research: Introduction to analytical research.
Sampling and sampling distribution: Meaning, Steps in Sampling process,Types of Sampling - Probability and non probability Sampling Techniques.Data collection: Primaryadvantages/disadvantages.andSecondarydata–Sources–Data collection Methods: Observations, Survey, Interview and Questionnairedesign, Qualitative Techniques of data collection.
Nominal Scale, Ordinal Scale, Interval Scale, Ratio Scale, Criteria for goodmeasurement, attitude measurement – Likert’s Scale, Semantic DifferentialScale, Thurstone-equal appearing interval scale. (Theory Only)
Measures of central tendency: Average: Concept, Types – MathematicalAverages: Arithmetic Mean, Median, Mode (No grouping table method).Partition Values: Quartiles, Deciles and Percentiles - Comparison of theVarious Measures of Central Tendencies.
Measures of Dispersion: Standard Deviation – Variance – Coefficient ofVariance, Skewness: Relative measures of skewness- Karl- Pearson Co-efficient of skewness.Correlation and regression: Scatter Diagram, Karl Pearson’s coefficient ofCorrelation (One way table only), Rank Correlation, Concurrent Deviation -Regression: Method of Least Squares,
Probability: Concept and Definition - Relevance to Management Decisions -Sample Space and Events - Relevance of Permutations and Combinations toProbability - Rules of Probability, Random Variables and Concept ofProbability Distribution. Theoretical Probability Distributions: Binomial,Poisson and Normal and problems on it. Baye’s Theorem (No derivation)
Formulation of hypothesis, Testing of hypothesis and inferences: Procedureof testing hypothesis, Type I and Type II Errors.Parametric tests: Z-Test, t-test, F-test, Analysis of Variance – One-Way andTwo-way classification.
Chi-Square test (Problems), Multivariate analysis (Theory only). Reportwriting