Part I. Consider the values in the following table for the Winsome Widget Factory. Fill in the formula for AFC‚ AVC‚ ATC‚ and MC at the top of the column in the gray section within the table. Fill in the missing values for TFC‚ TVC‚ AFC‚ AVC‚ ATC‚ and MC in the blue sections of the table. Winsome Widget Factory Output Total Fixed Cost Total Variable Cost Total Cost Average Fixed Cost Average Variable Cost Average Total Cost Marginal Cost 0 600 0 $600 5 600 350 900 120 60 180 60 10 600
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SECTION 2: THE AGREEMENT An agreement is the essence of every contract. The parties to a contract are the offeror (who makes an offer) and the offeree (to whom the offer is made). If‚ through the process of offer and acceptance‚ an agreement is reached‚ and the other elements are present (consideration‚ capacity‚ legality)‚ a valid contract is formed. KEY VOCABULARY Material: Subject (matter): Offeror: Offeree: Firm offer: Party (parties): Revoke: Entitled: Disclaim: WARM-UP QUESTIONS:
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------------------------------------------------- Stock-keeping unit From Wikipedia‚ the free encyclopedia | This article does not cite any references or sources. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged andremoved. (July 2007) | A stock-keeping unit or SKU (pronounced either as an acronym‚ /ˈskjuː/‚ or as an initialism‚ /ˌɛsˌkeɪˈjuː/) is a unique identifier for each distinct product and service that can be purchased. SKU
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age‚ purchasing habits‚ etc.? Do you know how to find the target group‚ or will the researcher need to find them for you? Example: Loyal users of ABC widgets (purchased at least 3 in last 6 months) Loyal users of XYZ widgets (purchased at least 3 in last 6 months) Non-users of widgets (using woozles or other solution instead of widgets) Mix of male and female‚ age ranges from 35-55 Approximately when do you want this work to be done? And when do you need the final analysis or presentation
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among people of all ages‚ all over the world. Many people consider that without mobile phone‚ they cannot imagine their life; both in terms of necessity and in terms of a fashion statement. Apart from being a fashion accessory and communication widget‚ these phones add to the prestige value. The mobile phones have many other benefits to offer to their users such as camera‚ music player‚ games‚ GPS‚ Mobile office and lots more. With the high-end connectivity features‚ the users can stay connected
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copy of this research. This presentation can be found at www.morganstanley.com/techresearch. For analyst certification and other important disclosures‚ refer to the Disclosure Section. Internet Trends • Usage Patterns • Social Networking • Widget-ization + Component-ization • Measurability + Transparency + Customer Satisfaction • Video • Monetization • Mobile • Emerging Markets • Recession 2 Changes in Usage Patterns 3 Consumers Leading Way – 58% CAGR in IP Traffic‚ 2005E-2011E
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Forecasting Forecasting is a prediction of what will occur in the future. It is an uncertain process that is vital to survival in today’s international business environment. Rapid technological advances have given consumers greater product diversity as well as more information on which they make their product choices. Managers try to forecast with as much accuracy as possible‚ but that is becoming increasingly difficult in today’s fast-paced business world. Forecast Methods There are two
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experience. Harvesting the power of new media tools‚ Mandee is leaving it up to the consumer to get personal. Mandee has managed to find ways of reaching their customers at every channel—mobile‚ in store‚ online and via multiple social networks. By using widgets‚ Mandee creates multiple surveys which plug into all of their social network pages (Facebook‚ MySpace‚ Twitter‚ MyYearbook‚ etc)‚ to find out about customer preferences‚ such as favorite color to wear for spring and what world issue customers are
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While auditing my client‚ I found that the price the company has been paying for their widgets doubled in a year’s time. In addition‚ they are now being purchased entirely from a new vendor. After I check the fair market price for these widgets‚ however‚ it appears that they are only worth half of what the company is paying. This is one of the red flags for fraud. As an auditor it is my job to ensure to the best of my ability that the financial statements are not materially misstated due to fraud
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interested in optimal inventory policies for widgets. The EOQ formula uses four variables. They are: D: Q: C: h: The demand for widgets in quantity per unit time. Demand can be thought of as a rate. The order quantity. This is the variable we want to optimize. All the other variables are fixed quantities. The order cost. This is the flat fee charged for making any order and is independent of Q. Holding costs per widget per unit time. If we store x widgets for one unit of time‚ it costs us x@h
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