A. Quantitative Techniques with reference to time series analysis in business expansion.

B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique.

C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application.

Examples of qualitative methods include: * action research aims to contribute both to the practical concerns of people in an immediate problematic situation and to the goals of social science by joint collaboration within a mutually acceptable ethical framework; * case study research - a case study is an empirical enquiry that investigates a contemporary phenomenon within its real-life context; * ethnography- the ethnographer immerses her/himself in the life of people s/he studies and seeks to place the phenomena studied in its social and cultural context.
However examples of quantitative methods now well accepted in the social sciences and education include: * surveys; * laboratory experiments; * formal methods such as econometrics: * numerical methods such as mathematical modelling.

Quantitative Techniques. Quantitative techniques are mathematical and statistical models describing a diverse array of variables’ relationships, and are designed to assist administrators with management problem-solving and decision-making (Naude, Stray, & Wegner, 1991).
Quantitative Techniques with support of qualitative factors is necessary.