Purpose This assignment is intended to help you learn how to apply statistical methods when analyzing operational data, evaluating the performance of current marketing strategies, and recommending actionable business decisions. This is an opportunity to build critical-thinking and problem-solving skills within the context of data analysis and interpretation. You’ll gain a first-hand understanding of how data analytics supports decision-making and adds value to an organization. Scenario: Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based dishes, soups, and salads. Since its inception, the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions: Median age between 25 – 45 years old Household median income above national average At least 15% college educated adult population Last year, the marketing department rolled out a Loyalty Card strategy to increase sales. Under this program, customers present their Loyalty Card when paying for their orders and receive some free food after making 10 purchases. The company has collected data from its 74 restaurants to track important variables such as average sales per customer, year-on-year sales growth, sales per sq. ft., Loyalty Card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq. ft. For example, if a 1200 sq. ft. restaurant recorded $2 million in sales last year, then it sold $1,667 per sq. ft. Executive management wants to know whether the current expansion criteria can be improved. They want to evaluate the effectiveness of the Loyalty Card marketing strategy and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you’ve been assigned the responsibility of conducting a thorough statistical analysis of the company’s available database to answer executive management’s questions. Report: Write a 750-w

Afactory owner wants his workers to produce as many widgets as they can so he pays his workers based on how many widgets they produce. however, in order to make sure that the workers do not rush and produce a large number of poorly made widgets, he checks the widgets at random at various stages of their manufacture. if a defect is found in a widget, the pay of the entire section of the factory responsible for that defect is docked. how is this factory owner seeking to solve the agency conflict problem in this case?

1. descriptive statistics quickly describe large amounts of data can predict future stock returns with surprising accuracy statisticians understand non-numeric information, like colors refer mainly to patterns that can be found in data 2. a 15% return on a stock means that 15% of the original purchase price of the stock returns to the seller at the end of the year 15% of the people who purchased the stock will see a return the stock is worth 15% more at the end of the year than at the beginning the stock has lost 15% of its value since it was originally sold 3. a stock purchased on january 1 cost $4.35 per share. the same stock, sold on december 31 of the same year, brought in $4.75 per share. what was the approximate return on this stock? 0.09% 109% 1.09% 9% 4. a stock sells for $6.99 on december 31, providing the seller with a 6% annual return. what was the price of the stock at the beginning of the year? $6.59 $1.16 $7.42 $5.84

Required information problem 15-1a production costs computed and recorded; reports prepared lo c2, p1, p2, p3, p4 [the following information applies to the questions displayed below. marcelino co.'s march 31 inventory of raw materials is $84,000. raw materials purchases in april are $540,000, and factory payroll cost in april is $364,000. overhead costs incurred in april are: indirect materials, $59,000; indirect labor, $26,000; factory rent, $38,000; factory utilities, $19,000; and factory equipment depreciation, $58,000. the predetermined overhead rate is 50% of direct labor cost. job 306 is sold for $670,000 cash in april. costs of the three jobs worked on in april follow. job 306 job 307 job 308 balances on march 31 direct materials $30,000 $36,000 direct labor 25,000 14,000 applied overhead 12,500 7,000 costs during april direct materials 133,000 210,000 $100,000 direct labor 105,000 150,000 101,000 applied overhead ? ? ? status on april 30 finished (sold) finished in process (unsold) required: 1. determine the total of each production cost incurred for april (direct labor, direct materials, and applied overhead), and the total cost assigned to each job (including the balances from march 31). a-materials purchases (on credit). b-direct materials used in production. c-direct labor paid and assigned to work in process inventory. d-indirect labor paid and assigned to factory overhead. e-overhead costs applied to work in process inventory. f-actual overhead costs incurred, including indirect materials. (factory rent and utilities are paid in cash.) g-transfer of jobs 306 and 307 to finished goods inventory. h-cost of goods sold for job 306. i-revenue from the sale of job 306. j-assignment of any underapplied or overapplied overhead to the cost of goods sold account. (the amount is not material.) 2. prepare journal entries for the month of april to record the above transactions. 3. prepare a schedule of cost of goods manufactured. 4.1 compute gross profit for april. 4.2 show how to present the inventories on the april 30 balance sheet.