Answer:
What-if Analysis-
A. A special case of what-if analysis, is the study of the impact on other variables when one variable is changed repeatedly.
Sensitivity analysis- D. Checks the impact of a change in a variable or assumptions on the model.
Goal seeking analysis- B. Finds the input necessary to achieve a goal such as a desired level of output
Optimization Analysis- C. An extension of goal-seeking analysis, finds the optimum value for a target variable by repeatedly changing other variables, subject to specified constraints.
Explanation:
The above are all related in some way; all connected to the what if analysis. What if analysis measures the change in target variables as a result of repeated change(hence the needed what if analysis) in variables or scenarios in a business case for instance. For example a change in information for a marketing strategy to see how it affects profit or market success. Sensitivity analysis is a form of what if analysis and the example above could also apply. We could also see how goal and optimization analysis come in here.
Answer:
Models that describe how managers actually make decisions.
Explanation:
The "nonrational model" is another approach to decision-making. It tackles on the importance of "emotions" when it comes to supporting the decision-making process. Since decisions carry uncertainty, the person's tolerance for risk is being considered as a factor here. An example of this model is Herbert A. Simson's cognitive styles (maximizers & satisficers). <em>Maximizers</em><em> </em>take a long time to come up with an optimal decision while the<em> satisficers</em> prioritize a satisfactory solution.
So, this explains the answer.
Answer:
inductive
Explanation:
The answer is
"inductive" reasoning
Inductive reasoning is a practice of reasoning in which the previous statement or studies are considered as supplying some confirmation for the truth of the conclusion.
It is a logical processes where many premises are viewed and considered from various sources and all believe to be true most of the time and are combined together to obtain a conclusion. Inductive reasoning involves forecasting and predicting.
Thus the answer is --- inductive
A- Create a specific goal
example: ice bucket challenge