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- Briefly defineHello. Could you also please include the graph how is it changed?City Beautiful Brewer is a beer maker in Orlando that produces and sells four varieties of beer. Below is a table showing the quantities of these four beers (in bottles), each beer's average cost, and each beer's total revenue for the months of October and November. City Beautiful Brewer sold all bottles of beer that it produced during both months, and the price of each beer was constant during each month. [Click on the table to open a PDF viewable version in another tab.] October Beer Quantity Average Total Cost Revenue Quantity Cost November Average Total Revenue Magic Lager 1,600 $1.50 $5,000 1,000 $1.10 $7,000 Orange Stout 2,000 $0.75 1-4 IPA 1,000 $1.25 Eola Pilsner 400 $0.50 $8,000 $4,000 $5,000 2,500 $0.50 $5,000 400 $1.00 $5,500 600 $0.40 $6,000 How much profit did City Beautiful Brewer earn during October from producing and selling its four varieties of beer? O More information is needed; specifically, the selling price of each beer must be known. O $2,000 $4,000 O $10,000
- Each graph illustrates three short-run cost curves for firms, where ATC is average total cost (also referred to as average cost), MC is marginal cost, and AVC is average variable cost. Please classify each of the graphs as valid or invalid based on what you know about the relationships between these curves.Please help! I am so confused as to how I graphed this wrong!Question: Base on your graph, what do you think are the factors that may affect the demand of the existing products?
- Question: What conclusions can you draw from these data?"static/nb/ui/evo/index.html?deploymentld=5696051823021770732509536303&elSBN=9781305648173&id=916507517&snapshotld=1950959& * CENGAGE MINDTAP J Homework (Ch 08) Q Search this course Consider the following scenario to understand the relationship between marginal and average values. Suppose Rajiv is a professional basketball player, and his game log for free throws can be summarized in the following table. A-Z Fill in the columns with Rajiv's free-throw percentage for each game and his overall free-throw average after each game. Game Game Result Game Free-Throw Percentage Total Average Free-Throw Percentage 4/5 4/5 80 80 2/5 6/10 3 1/4 7/14 4 1/2 8/16 4/4 12/20 On the following graph, use the orange points (square symbol) to plot Rajiv's free-throw percentage for each game individually, and use the green points (triangle symbol) to plot his overall average free-throw percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will…The Wall Street Journal’s website, www.wsj.com, reported the number of cars and light-duty trucks sold through October of 2014 and October of 2015. The top sixteen manufacturers are listed here. The sales information for all manufacturers can be accessed in a data file below. Sales data are often reported in this way to compare current sales to last year’s sales. Year-to-Date Sales Manufacturer Through October 2015 Through October 2014 General Motors Corp. 2,562,840 2,434,707 Ford Motor Company 2,178,587 2,065,612 Toyota Motor Sales USA Inc. 2,071,446 1,975,368 Chrysler 1,814,268 1,687,313 American Honda Motor Co Inc. 1,320,217 1,281,777 Nissan North America Inc. 1,238,535 1,166,389 Hyundai Motor America 638,195 607,539 Kia Motors America Inc. 526,024 489,711 Subaru of America Inc. 480,331 418,497 Volkswagen of America Inc. 294,602 301,187 Mercedes-Benz 301,915 281,728 BMW of North America Inc.…
- We have the results from our first Facebook ad campaign. The following table summarizes the results broken down by age and whether the person seeing the add clicked through. Age 40 or under 85 Age more than 40 65 Total Clicked Through 150 Did Not Click 590 260 850 Total 675 325 1000 For our up(combing) (pun intended) campaign, I want to make it as effective as possible, a cut above all other ad campaigns! I'm thinking that since 85 (or 56.7%) of the 150 people who clicked through to our website are age 40 or less, we should focus our ads to only younger people. I'm not great with number though, and since I know you had a stats class in college, I wanted to get your opinion. Should we focus our adds only to those age 40 and under or should we do something else?question part c should contain a graphWhich type of graph will be suitable for representing the above sales revenue by regions
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