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Answer:
The correct answer is option D.
Explanation:
Sunk costs can be defined as those costs which already been incurred and cannot be recovered anymore. These costs are excluded from business decision making.
It is can be referred to as a cost that is no longer relevant.
The $8 paid for a ticket, after the person starts watching the movie is a sunk cost as it cannot be recovered anymore.
Sunk costs are contrasted to relevant cost which is yet to be incurred in the future. Cost pf machinery, equipment, etc are examples of sunk cost.
True, Compared to the other main forecasting techniques, market-based forecasting of exchange rates has proven to be more reliable and consistent.
What is Market-based forecasting?
By utilising a wide range of data that describe the nature of demand within the organization's service area, market-based demand forecasting is a technique for estimating future demand for a healthcare organization's services. The primary and secondary service areas, population breakdowns by various demographic categories, discharge utilisation rates, market size, and market share by service line and overall are just a few examples of the information we're talking about. Strategic planners can develop scenarios describing potential future demand based on observable market dynamics and a variety of explicit assumptions about future trends. Then, financial planners can assess every scenario to see how it might affect particular financial and operational metrics, like operating margin, days with cash on hand, as well as debt-service coverage, and create a strategic financial plan that accounts for a variety of contingencies.
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Descriptive analytics is best described with a report that includes charts and graphs explaining the data.
<h3>What Is Descriptive Analytics?</h3>
The interpretation of historical data through descriptive analytics helps to better comprehend changes that have taken place in a firm. The process of using a variety of historical data to make comparisons is known as descriptive analytics.
In contrast to the complicated calculations required for predictive and prescriptive analytics, descriptive analytics typically uses simple math and statistical methods, such as arithmetic, averages, and percent changes. Since results are presented using visual tools like line graphs, pie, and bar charts, descriptive analytics may - and should - be easily comprehended by a broad corporate audience.
Therefore, a report with charts and graphs illuminating the data is the best way to describe descriptive analytics.
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