Microeconomics, which determines much of the business decision process, looks to the margin for much of its data. What is the marginal cost of producing one more piece of output? What is the marginal cost of hiring one more employee? What is the marginal benefit of opening another store? In other words, the business decision process is not concerned with the total cost of producing all its units as much as producing just one more. In this sense, the margin is the derivative of the total cost. When the marginal benefit of something is greater than the marginal cost, the action will be followed. If the marginal cost is greater, it will not be. A company will produce more output until marginal benefit is equal to marginal cost. To maximize profits, the decisions of a company need to be made based upon this knowledge and some very complex calculus to find just want marginal costs and benefits of any given action are.
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Statistics is very important in business and Economics because it helps businesses make informed and accurate decision based on certain trends. It helps the planning and production process.
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.
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.
One directly undoes the process of the other.
By applying the process of triple integration (calculus) to the definition of a sphere.