answer all parts111

Your second essay assignment requires you to critically examine the American Psychological Association code of ethics. But does the code of ethics from your own profession withstand moral analysis? Find a code of ethics online from your profession and share the link here. Here are some guidelines:

The code should be provided by a professional organization or by a specific employer. If you're unsure what a professional organization is, professional organizations typically regulate the kind of activities in which members of the profession can engage, provide leadership, host annual regional and nationwide meetings, establish guidelines for professional development, and sometimes set entrance and renewal requirements for being a member of the profession. For example, some professional organizations are the American Bar Association (for lawyers), the American Medical Association (for doctors), and the American Philosophical Association (for professional philosophers). Look around online and you will find a professional organization for your chosen career. If you select a code from a specific employer, it should be more than merely a mission/vision/values statement. A code is distinct from such statements in that it will outline specific kinds of conduct that are demanded and prohibited among professionals and/or employees of the organization. You may select a code of ethics associated with the career path to which you aspire rather than one associated with your current job. Ideally, the code you select will be associated with a profession that people with your major typically enter. For example, many people who major in Criminal Justice enter law enforcement in some capacity. It would thus be appropriate, if your major is Criminal Justice, to select a code of ethics for a specific law enforcement agency that might employ you in the future, such as the Baltimore City Police or FBI. It would also be appropriate, however, to select a code of ethics from a nationwide professional organization. Whatever your major, envision some future careers you might have with a degree in that subject and select a code of ethics accordingly. **Note that your final paper in this class requires you to analyze a professional code of ethics from your present or future career. You are not required to use the same code of ethics in that paper that you share here, but ideally you would do so! Make your work count. Invest a little time now to make your later work easier. Once you identify and share a link to your professional code of ethics, briefly summarize a few key provisions of the code and explain how they might aid professionals in their practice. When you look at the codes of your classmates, do you see any room for improvement in their professional guidelines? Looking forward to your thoughts!

Problems 11 to 23 and Case Problem 2 require the use of data mining software. If using R/Rattle to solve these problems, refer to Appendix: R/Rattle Settings to Solve Chapter 5 Problems. If using JMP Pro to solve these problems, refer to Appendix: JMP Pro Settings to Solve Chapter 5 Problems.

k-Means Clustering of Sandler Movies.

Attracted by the possible returns from a portfolio of movies, hedge funds have invested in the movie industry by financially backing individual films and/or studios. The hedge fund Star Ventures is currently conducting some research involving movies involving Adam Sandler, an American actor, screenwriter, and film producer. As a first step, Star Ventures would like to cluster Adam Sandler movies based on their gross box office returns and movie critic ratings. Using the data in the file Sandler, apply k -means clustering with k=3 to characterize three different types of Adam Sandler movies. Base the clusters on the variables Rating and Box. Rating corresponds to movie ratings provided by critics (a higher score represents a movie receiving better reviews). Box represents the gross box office earnings in 2015 dollars. Normalize the values of the input variables to adjust for the different magnitudes of the variables. Report the characteristics of each cluster including a count of movies, the average rating of movies, and the average box office earnings of movies in each cluster. How would you describe the movies in each cluster?

Problem 2 l [33 points total} A company maloes three lines of tires. Its four-ply biased tires produce $6 in prot per tire; its berglass belted line 34 a tire; and its radials $3 a tire. Each type of tire passes through three manufacturing stages as a part of the entire production process. Each of the three process centers has the following hours of available production time per day: Process Hours 1 Modeling 1? 2 Curing 14 3 Amembly 15 The time required in each procem to produce one hundred tires ofeach line is as follows: [a] (5 points] Write a linear program to determine the optimum product mix for each day's production. assuming all tires are sold. {b} {11] points} EXCEL susmssmu Solve the problem using the simplex algorithm, employing the Excel spreadsheet given with this problem set. Make sure you understand the formu- lation and the meaning of the variables, and ll in the missing coefcients of the tableau. The spreadsheet that you submit should contain the sequence of tableaus that leads to the optimal tableau only. You will then use the same spreadsheet to help through the rest of Problem 2. but make sure you submit a spreadsheet contaimng the sequence of tableaus leading to the optimal tableau for the original data! [1:] (3 points] Using the Excel spreadsheet to carry out the calculations, answer the following question: (1] What is the initial feasible solution? Give the value for all the decision variables and all the slack variables. {2] What is the optimal solution? Give its objective fimction value and the value of all the decision variables. 1This problem is based on Problem I?- of Applied Mathematical Programming. Chapter 2. {d} {15 points1 5 points each] Using the Excel spreadsheet from the previous point to recompute the optimal solution of the LP1 answer the following questions: [i] Suppose we increase the number of modeling hours per day from 12 to 13. How much does the prot increase? (Comment: This is the shadow price of the constraint on the modeling hours. Read the tutorial on "Sensitivity Analysis in 2 Dimensions" to learn more about shadow prices.) (ii) What would be the increase in the prot if we increase the number of assemny hours per dag,r from 16 to 1? [Assume that the number of modeling hours per day is 1?.) [iii] [Extra credit} Consider the answer to the previous two questions. What relation- ship do you observe between the shadow price of a constraint and the value of the corresponding slack variable in the optimal solution? Problem 3 (First group of students}2 [34 points total} Charles YWatts Electronics manufactures the following six peripheral devices used in computers specially dedgned for jet ghter planes: internal modems. external modems, graphics circuit boards, USB memory stick, hard disk drives: and memory expansion boards. Each of these technical products requires time, in minutes, on three types of electronic testing equipment as shown in the following table: Internal External Circuit USB Hard Merlmry Modem Modem Board Stick Drives Boards Test device 1 '7 3 12 6 18 17 Test device 2 2 5 3 2 15 17 Test device 3 5 l 3 2 9 2 The first two test devices are available 130 hours per week. The third [device 3) requires more preventive maintenance and may be used only 100 hours each week. Watts Eleetmmcs believes that it cannot sell more than 2000. 1500, 1300, 1290., 11130., 1000 units of each device. respectively. Thus, it does not want to produce mole than these units; The table that follows summarizes the revenues and material costs for each product: Revenue per NIaterial Coat. Device unit sold (3} per unit {3} W External modem 120 25 Circuit board 130 40 USB memory stick 130 45 Hard disk. drive 430 170 Memory expansion board 260 EL] hi addition. variable labor costs are $16 per hour for test device 1. $12 per hour for test device '2, and $18 per hour for test device 3. Watts Electronics wants to maximize its prots. This ="Phis problem is based on Problem 3.21] of Operations Management by Heiser and Bender {2010]. problem can be formulated as follows: max I: 200 35 [Tf (2f)1'2 (ftis + :3 120 25 (swans (516mm mesons -- 30(130 4n (12mm (316mm (3f)18 - 33(130 45 (wanna (wanna (wanna - 13(430 1m (13mm (15mm (wanna \"(260 so [lejl (1mu)12 4216mm) s.t.: Availability That Dev. 1 : 71:; + 31:5- + 121:9 +6.11; + 18:53 + HIM g 130 x 61;] Availability That Dev. 2: 231+5zg+3mc +2:y+15$H+1?:M 5 1301'60 Availability That Dev. 3: 51f+1$E+3IC+21U +9553 +211\" 5 100x60 Max int modem demand : :ch 5 2000 Max ext modem demand : :5- 5 15m Max circuit demand : :g 5 18m Max USB memory demand : Eu 5 12m L-Iax hard disk demand : 3:\" 5 10m Max memory demand : 1M g 10m $1,1E,IC,IU,IH,IM 2 0. In this problem, there are six decision variables that indicate the number of devices as: I; = the number of internal modems 15 = the number of external modems :rc = the number of circuit boards my = the number of U513 memory sticks 11:3 = the number of hard disk drives 3M = the number of memory expansion hoards You are given an Excel spreadsheet that solves the above problem. Suppose that the labor costs are changed to $18 per hour for test device 1, $15 per hour for test device 2, and $12 per hour for test device 3. In addition, Watts Electronics considers producing external hard drives, with $127 of revenue per unit, and $50 of the material cost per unit. All external hard drives will be sold. The required time, in minutes, on the three testing devices are given as follows: External hard drives Test device 1 Test device 2 Test device 3 All other data remains unchanged. Update the Excel spreadsheet and answer the following questions: (a) (10 points) What is the optimal profit and the optimal production-mix? (b) (5 points) As you see from the solution in Part (a), no external hard drives is produced in the optimal production-mix. What is the minimum increase in the revenue of external hard drive (in terms of $ per unit), before they will be included in the optimal production mix? (Be accurate within one dollar.) (c) (6 points) Suppose that Watts Electronics is considering increasing the available time of test device 2 for the next week. What would be the increase in the profit over the solution in Part (a) if the available time increases to 130 + t for t = 1, 2, and 3. (Assume that there are still 130 hours of test device 1 and 100 hours of test device 3.) (d) (8 points) Based on your answer in Part (c), estimate the optimal profit if the availability time of test device 2 increases to 140. (Use Excel solver to check if your estimate is correct.) What is the formula for the optimum profit if the availability time increased by 130 + t? (You may assume that t is between 1 and 10). (e) (5 points) Based on your formula in part (d), what is the contribution (the increase in optimal profit) if the availability time of test device 2 increases to 150. Use Excel solver to see if your estimation is correct (it won't). Use Excel solver to determine the maximum value of t for which your formula is correct (Be accurate to within an hour).Problem 1 (50 points) This problem is based on Problem 1 of Applied Mathematical Programming, Chap- ter 3. We provide you with information on the optimal solution to the model and a sensitivity analysis report. The questions are geared towards understanding the problem formulation, and analyzing the outcome of several possible scenarios. None of the answers requires you to solve additional Linear Programs: the information that we provide is sufficient to answer all ques- tions. Motivate your answers: when we ask you to compute a number, write how you computed it. Do not be scared by the length of the problem's description! Outdoors, Inc. has, as one of its product lines, lawn furniture. They currently have three items in that line: a lawn chair, a standard bench, and a table. These products are produced in a two-step manufacturing process involving the tube-bending department and the welding department. The time required by each item in each department is as follows: Product Lawn chair Bench Table Present capacity Tube bending 1.2 1.7 1.2 1000 Welding 1.8 2.3 1200 The contribution that Outdoors, Inc. receives from the manufacture and sale of one unit of each product is $3 for a chair, $3 for a bench, and $5 for a table. The company is trying to plan its production mix for the current selling season. It predicts that it can sell any number it produces, but production is further limited by available material, because of a prolonged strike. The company currently has on hands 2000 lbs. of tubing. The three products require the following amounts of this tubing: 2 lbs. per chair, 3 Ibs. per bench, and 4.5 lbs. per table. In order to determine the optimal product mix, the production manager has formulated the following linear program: Label Chair Bench Table Limit Bending 1.2 1.7 1.2 1000 Welding 0.8 2.3 AIA IA 1200 Material Availability 2 3 4.5 2000 Contribution 3 3 5 Solving this linear program with Excel and asking for a sensitivity report on the solution yields the information reported in Figure 1. Objective Cell (Max) Cell Name Original Value Final Value $B$4 Contribution 0 2766.666667 Variable Cells Cell Name Original Value Final Value Integer $B$1 Chair 0 700 Contin $B$2 Bench 0 0 Contin $B$3 Table 0 133.3333333 Contin Constraints Cell Name Cell Value Formula Status Slack SB$5 Bending 1000 $B$5