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Quantitative Methods – I

Module I: Business Research

  • 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 collection methods
  • Causal research: Meaning, various types of experimental designs, types of errors affecting research design
  • Analytical research: Introduction to analytical research.

Module II: Sampling and Data Collection

  • Sampling and sampling distribution: Meaning, who is the woman in the viagra commercial Steps in Sampling process
  • Types of Sampling – Probability and non probability Sampling Techniques
  • Data collection: Primary and Secondary data , Sources – advantages/disadvantages.
  • Data collection Methods: Observations, Survey, Interview and Questionnaire design, Qualitative Techniques of data collection
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Module III: Measurement & Scaling Techniques

  • Nominal Scale, Ordinal Scale, Interval Scale, Ratio Scale
  • Criteria for good measurement, attitude measurement – Likert’s Scale, Semantic Differential Scale, Thurstone-equal appearing interval scale

Module IV: Descriptive statistics

  • Measures of central tendency
  • Types – Mathematical Averages: Arithmetic Mean, Median, Mode (No grouping table method).
  • Partition Values: Quartiles, Deciles and Percentiles
  • Comparison of the Various Measures of Central Tendencies

Module V: Descriptive statistics – 2

  • Measures of Dispersion: Standard Deviation, Variance, Coefficient of Variance
  • Skewness: Relative measures of skewness- Karl- Pearson Coefficient of skewness
  • Correlation and regression: Scatter Diagram, Karl Pearson’s coefficient of http://cialisfromindia-onlinerx.com/ Correlation (One way table only), Rank Correlation
  • Concurrent Deviation -Regression: Method of Least Squares

Module VI: Inferential Statistics

  • Probability: Concept and Definition, Relevance to Management Decisions, Sample Space and Events, Relevance of Permutations and Combinations to Probability, Rules of Probability, Random Variables and Concept of Probability Distribution
  • Theoretical Probability Distributions: Binomial, Poisson and Normal and problems on it. Baye’s Theorem

Module VII: Hypothesis

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  • Formulation of hypothesis
  • Testing of hypothesis and inferences: Procedure of testing hypothesis, Type I and Type II Errors
  • Parametric tests: Z-Test, t-test, F-test
  • Analysis of Variance: One-Way and Two-way classification

Module VIII: Non parametric tests

  • Chi-Square test
  • Multivariate analysis
  • Report writing