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You own the only pharmacy in the small town of Jackson City, which has 40,000 residents. You would like to get a sense of what the local demand is for seasonal allergy medicine so you can determine how many packages to keep in stock and what price to charge. You conduct a survey of four residents of Jackson City, asking them about the quantity of allergy medicine they would buy each allergy season at various prices. Their responses are shown in the accompanying table. Estimate and graph the demand for the entire town of Jackson City. Price Lee June Carlotta Eric   $8 8 5 6 9 $10 6 4 5 5 $12 4 3 4 3 $14 2 2 2 1 $18 0 1 1 0 I submitted this question earlier and I understand how to add up the market demand for each individual but I don't understand how to estimate the entire market demand for Jackson city which has 40,000 residents including the individuals listed in the chart. If you could please answer this specifically I would appreciate it.

Macmillan Learning Consider the CEO of a company that sells coffee at small free standing shops around the country. The Board of Directors is considering increasing the number of locations in an effort to increase total revenue, ceteris paribus. Use the data to determine if revenue is responsive to the number of locations. Use the midpoint method to calculate percentages. Number of locations Total revenue Calculate the percentage change in locations. 2012 3000 $60 million Calculate the percentage change in total revenue. Based on the CEO's analysis, he reports to the Board that total revenue is inelastic with respect to the number of locations. total revenue is unit elastic with respect to the number of locations. total revenue is elastic with respect to the number of locations. 2013 3750 $75 million percentage change in total revenue: percentage change in locations: % %

Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the car that they purchased. PRICE (Thousands of dollars per car) 50 45 40 5 0 0 10 20 30 40 50 60 80 70 INCOME (Thousands of dollars per year) 90 100

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.…

The Xhang Corporation operates five clothing suppliers in China to provide merchandise for Nike. Nike recently sought information from the five plants. One variable for which data was collected was the total money (in U.S. Dollars) the company spent on medical support for its employees in the first three months of the year. Data on number of employees at the plants are shown. These data are as follows: Medical $7,400 $14,400 $12,300 $6,200 $3,100 Employees 123 402 256 109 67 (a). Compute the weighted mean medical payment for these five plants using number of employees as the weights. (b). Explain why Nike would desire that a weighted be computed in this situation rather than a simple numeric average Answer all questions

Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the home that they purchased. PRICE (Thousands of dollars per home) 500 450 400 350 300 250 200 150 100 50 L 0 10 20 30 40 50 60 70 80 INCOME (Thousands of dollars per year) 90 100

Consider the following data:Number of Customers a Restaurant Serves per Year Year 20002000 20012001 20022002 20032003 20042004 20052005 20062006 20072007 20082008 Customers 16,56516,565 17,13517,135 15,25815,258 14,36914,369 15,92915,929 16,76116,761 16,90216,902 18,65918,659 16,64616,646   Step 1 of 2 :   Find the two-period weighted moving average for the year 20072007 with weights of 33 (one time period in past) and 11 (two time periods in past). If necessary, round your answer to one decimal place.

In this​ exercise, you will investigate the relationship between earnings and height.   These data are taken from the US National Health Interview Survey for 1994. Download the data from the table by clicking the download table icon   . A detailed description of the variables used in the dataset is available here LOADING... . Use a statistical package of your choice to answer the following questions. Earnings and…

Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the car that they purchased. The variable shown on the vertical axis is __________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).   The units for the variable on the horizontal axis are _________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).   There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a car, and second, it tells us the probable income of a person who spent a certain amount on a car. For example, if an individual earned $50,000 last year and purchased a new car, you would expect that person to…

A survey of 800 college seniors resulted in the following crosstabulation (Table 1) regarding their undergraduate major and whether or not they plan to go to graduate school. Please use the information to answer questions 1-3.                                                                 Undergraduate Major  Graduate School Business Engineering Others Total Yes 70 84 126 280 No 182 208 130 520 Total 252 292 256 800   1.What percentage of the students does not plan to go to graduate school? 2.What percentage of the students' undergraduate major is engineering? 3.Of those students who are majoring in business, what percentage plans to go to graduate school?

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 70 stocks traded on the NYSE that day showed that 31 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.002α=0.002.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null…

Bank clients were asked to indicate their level of satisfaction with the service provided by the bank’s tellers. Responses from a random sample of customers were as follows: 69 were very satisfied, 55 were moderately satisfied, 5 had no opinion, 3 were moderately dissatisfied, and 2 were very dissatisfied. a. Construct a bar chart. b. Construct a pie chart.

Last year, the managers of a company earned $40,000 and the assistant managers earned $35,000. After a great year of business, manager pay was raised to $50,000 and the assistant manager pay was raised to $40,000. If the payroll for last year was $2,200,000 and the payroll for this year is $2,600,000, determine the number of managers and assistant managers the company employees. (Using a matrix will result in no credit, all work must be shown)

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The following histogram shows the exam scores for a Prealgebra class. Use this histogram to answer the questions. Frequency 24 20 16 4 15 0 Prealgebra Exam Scores 17 16 12 60 19 70.5 75.5 80.5 85.5 90.5 95.5 100.5 Scores Step 2 of 5: Find the upper class limit of the second class.

Hanna, who is a 5-year-old girl, eats nothing but pasta, yogurt, and lemonade. Each month her parents buy 32 pounds of pasta, 79 packages of yogurt, and 22 bottles of lemonade. Hanna's parents have recorded the prices per unit of pasta, yogurt, and lemonade for the last four months, as shown in the table below. Hanna's Meals Month January February March April Pasta (dollars per Yogurt (dollars per pound) $1.83 1.90 2.07 2.26 package) $1.14 1.04 0.95 1.04 Lemonade (dollars per bottle) $2.58 2.35 Instructions: Round your answers to two decimal places. a. Compute the total monthly cost of Hanna's meals and indicate whether inflation, deflation (negative inflation), or no inflation occurred during these months. In January, the total monthly cost was $ In February, the total monthly cost was $ In March, the total monthly cost was $ In April, the total monthly cost was $ and (Click to select) b. If Hanna's parents want to buy the same quantity of pasta, yogurt, and lemonade, how much more…

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20. The table below shows the heights, in inches, of 15 ran- domly selected National Basketball Association (NBA) players and 15 randomly selected Division I National Collegiate Athletic Association (NCAA) players. 84 76 79 75 81 81 76 85 NBA 78 79 78 78 84 75 76 78 73 73 78 77 76 75 74 NCAA 74 81 75 78 78 79 73 Using the same scale, draw a box-and-whisker plot for each of the two data sets, placing the second plot below

The price for cigarettes sold by Big Tobacco Co Ltd was 6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltd decided to increase the price by 25% during the month of April.  As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd: As a manager Big Tobacco Co Ltd store advise your management of the strategy that could be adopted by your firm to maintain sales. Also, advise your government on recommended interventions in the cigarette market.

The price for cigarettes sold by Big Tobacco Co Ltd was 6.00 per packet in March 2018. During the month of March, the consumption of cigarettes was 1000 packets. However, the Board of Directors of Big Tobacco Co Ltd decided to increase the price by 25% during the month of April.  As a manager you noted that price elasticity of demand was 0.8. As a manager Big Tobacco Co Ltd:   As a manager Big Tobacco Co Ltd store advise your management of the strategy that could be adopted by your firm to maintain sales

Please answer and show complete solution. Thank you!

Classify each of the following as descriptive or inferential statistics and explain briefly. The average points per game, percent of free throws made, average number of rebounds made per game, and average number of fouls per game as well as several other measures for players in the Philippine Basketball Association (PBA) are computed.

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2750 5 14 296600 2696 5 11 294400 2523 4 7 281400 2057 4 7 240600 1797 4 5 208600 1767 4 5 196400 1684 4 4 171900 1554 3 4 162800 1521 3 3 144900 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise,…

What is the difference between an unbiased estimator and a consistentestimator?

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2750 5 14 296600 2696 5 11 294400 2523 4 7 281400 2057 4 7 240600 1797 4 5 208600 1767 4 5 196400 1684 4 4 171900 1554 3 4 162800 1521 3 3 144900 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Copy Data

A researcher wants to study about the behaviours of postgraduate students in Australia in mobile phone usage.  One of the goals of the study is to analyse whether there is a relationship between the type of apps that the students use the most and the degree they are studying.   What is the most suitable graph to see the relationship described above? Why?

11 The sample data provides that ______ fraction of variations in the life insurance policy is explained by income.   a 0.8120                 b 0.8548                 c 0.8998                 d 0.9471

Unit III Assignment Worksheet Background Information The Ruby Red Movie Theater in town is in jeopardy of having to close its doors because it is unable to generate enough total revenue.  In an effort to generate more total revenue, the movie theater manager decided to change the prices this month for drinks, popcorn, candy, hot dogs, and movie tickets. The manager would like for you to analyze the data that has been collected to help decide if the decisions to change the prices were correct and, if not, what should be done to prices to generate more total revenue. Be sure to answer all of the questions in this worksheet. Question 1 Information regarding the community’s average income and movie ticket sales at the Ruby Red Movie Theater for both last year and this year are presented below. Use this information when answering questions A–C, below.   Last Year   This Year         Community’s Average Income $55,800   $57,474         Movie Ticket Sales 4,980…

help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

FCI owns 10 apartment buildings in a college town, which it rents exclusively to students. Each apartment building contains 100 rental units, but the owner is having cash flow problems due to an average vacancy rate of nearly 50 percent. The apartments in each building have comparable floor plans, but some buildings are closer to campus than others. The owner of FCI has data from last year on the number of apartments rented, the rental price (in dollars), and the amount spent on advertising (in hundreds of dollars) at each of the 10 apartments. These data, along with the distance (in miles) from each apartment building to campus, are presented in rows 1 through 11 of Table. The owner regressed the quantity demanded of apartments on price, advertising, and distance. The results of the regression are reported in rows 16 through 35 of Table. What is the estimated demand function for FCI’s rental units? If FCI raised rents at one complex by $100, what would you expect to happen to the…