Balaji P

research probability research design sampling random variable poisson distribution normal distribution binomial distribution probability density function probability distribution discrete and continuous random variable expected value and problems with solutions subjective classical probability empirical probability types of probability conditional and unconditional probability and baye dependent and independent events mutually exclusive events correlation regression partial correlation index number standard deviation standard error mean deviation range geometric mean mean relationship harmonic mean inferential median descriptive mode asymmetry dispersion central tendency rmsea etc. and model re specification path analysis amos different types of model fit for sem such as chisq model identification whether it is under identific structural equation model confirmatory factor analysis latent growth model exploratory factor analysis structural equation modeling sampling frame appropriate sampling method. different between population and sample sample size determination types of sampling questionnaire and schedule method. interview method brief description about observation method method of data collection types of data measurement of data types of scale to measure data gantt chart descriptive research design exploratory research design and hypothesis researc significance of the study references appendixes limitation and delimitation question and or hypothesis review of the literature introduction purpose of the study statement of problem some examples of research questions techniques to define research problem how to define research question conditions for research questions research questions research process research methodology overview and statistics data analysis advantage and disadvantage of or overview of or limitation of or application of operation research history of or operation research research question statistics quantitative research economy