Possible to solve the duty required Doing each homework first page is necessary tomorrow majoring in business administration

+ : 12 : 13 A B C D D E F G H cap.investment 300.0 manufacturing 1 0 1 0 1 0 1 250.0 200.0 150.0 . comp.million 212 226 237 239 242 245 253 262 271 285 329 340 353 384 405 411 456 478 525 564 sales 35.0 27.2 49.5 34.0 52.8 37.6 60.7 49.2 75.1 69.0 137.2 140.1 162.9 221.7 261.6 300.1 455.5 437.6 BC2.1 731.5 no.employees cap.Investment 248.0 10.5 156.0 3.8 348.0 14.9 196.0 5.0 371.0 15.9 216.0 5.7 425.0 18.3 285.0 8.0 524.0 22.6 401.0 947.0 41.4 825.0 30.3 961.0 36.7 1517.0 67.1 1784.0 79.2 1788.0 79.8 2733.0 135.7 2957.0 132.7 4857.0 278.4 4896.0 222.2 12.3 1 0 1 0 100.0 50.0 1 1 D.D 0.0 1000.0 20000 3000.0 4000.0 . es C Mean Standard Error Median Mode Standard Deviatic Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 1321.75 329.0443489 674.5 #N/A 1471.531064 2165403.671 1.724095663 1.587621283 4740 156 4896 26435 20 1 2 3 4 5 6 7 5 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 F G I L M N. 0 cap.investment 300.0 250.0 200.0 150.0 100.0 50.0 0.0 0.0 1000.0 2000.0 3000.0 4000.0 5000.0 6000.0 no.eml vees O Mean Standard Error Median Mode Standard Deviatio Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 1321.75 329.0443489 674.5 #N/A 1471.531064 2165403.671 1.724095663 1.587621283 4740 156 4896 26435 20 Generating a Sample (of size 9) in Excel Dway Dunia View Hop Tether you are Aar - 18 GE Salary$10, Housing Price 0001 ($10,000 1 45 2 47 3 57 45 59 52 50 8.4 55 11 56 12.4 57 125 59 20 15 70 17 22 222 23 226 74 25.8 76 15 14 15 16 17 L ... fx . A A B C D E F G H | comp.million 212 226 237 239 242 245 253 262 271 285 329 340 353 384 405 411 456 478 525 564 sales 35.0 27.2 49.5 34.0 52.8 37.6 60.7 49.2 75.1 69.0 137.2 140.1 162.9 221.7 261.6 300.1 455.5 437.6 802.1 731.5 no.employees cap.investment manufacturing 248.0 10.5 1 156.0 3.8 0 0 348.0 14.9 1 1 196.0 5.0 371.0 15.9 1 216.0 5.7 0 425.0 18.3 1 285.0 8.0 0 0 524.0 22.6 1 401.0 12.3 0 0 947.0 41.4 1 825.0 30.3 0 961.0 36.7 0 0 1517.0 67.1 1 1784.0 79.2 1 1788.0 79.8 2733.0 135.7 0 2957.0 132.7 1 48570 278.4 0 4896.0 2222 1 1 2 3 4 4 5 5 6 7 7 8 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 Course Syllabus QANT 510: Statistics for Decision Making Class meets ONLINE Winter Quarter 2022: January 3 - March 19, 2022 Professor: Rosalyn Bryant E-Mail: rosalyn bryant@live.uona.edu Course Description: This course provides an introduction to the fundamentals of statistics and quantitative methods for decision making. Students will be given an overview of the basic elements of statistics including measurement error, sampling and analysis, and will learn how to detect unreliable statements backed by faulty statistical methods. Students will apply their knowledge of statistics to various areas of business decision making and management including creating surveys and applying statistics to marketing, forecasting, and quality management. Credit Hours: 4.5 : Class Instruction: 45 Hours (Didactic) ( Prerequisites: MGMT515 and TECH515 Course Objectives: At the conclusion of this course students will be able to: : . . Interpret statistical concepts and methods used in collecting and analyzing the data. Conduct statistical analyses to explore and summarize the sample data, examine random variables and their probability distributions, and estimate statistical models for making inferences about the broader population. Apply statistical methods in analyzing the real-world business data and use the results for making sound business decision making management, problem solving, forecasting and quality management . Course Text and Supporting Materials: Required Textbook: Ken Black, Business Statistics: For Contemporary Decision Making 8th Edition, John Wiley & Sons, 2013. ISBN:978-1-118-49476-9. The text website: www.wiley.com/college/black. The website contains data files for text problems a nd cases, and learning materials for students, including solutions to odd-numbered problems, prac tice quizzes, video tutorials, and Excel manuals. Statistical Software: Microsoft Excel and Data Analysis ToolPack Add-in (required) Optional: OpenIntro Statistics - https://www.openintro.org/stat/textbook.php QANT 510 Last Comprehensive Update: JUNE 2020 University of North America Course Syllabus Course Outline The outline provides a weekly overview for the term. Carefully review the instructional methods and course grading, late assignment, plagiarism, and other policies provided on the subsequent pages. For courses delivered online all lessons, assignments, and assignment due dates are posted on the Moodle platform; for courses delivered on campus specific guidelines will be distributed by the instructor at the initial class session. Email/contact the course instructor if further clarification is needed. Week Days/ Dates Meeting Time Topics/Discussions Readings / Assignments 1 JAN 3- JAN 8 Online Statistics for Business What is Statistics? Chapter 1 2 JAN 9 - JAN 15 Online What is Probability? Chapter 4 3/ Course Syllabus Course Grade and Deliverables: The grade for this course is based on multiple exercises, assignments, and interactions with your peers and the instructor, which are referred to as "deliverables." The deliverables are assigned the following percentage of the course grade: DELIVERABLE Discussions Homework Assignments Quizzes Final Exam Project (Parts 1 & 2) Project Presentation Reflection Paper Total % OF GRADE 10 15 20 20 20 10 5 100 Timely submission of assignments Submission of in-class and out-of-class work by the due date are critical to the UONA applied learning / curricular practical training approach whether assigned in on campus or online courses. Assignments throughout each course increase in depth and breadth as students becomes more familiar with the topics and rely on reinforcement of recently acquired knowledge with applications, and individual and team exercises. Weekly peer and faculty feedback support each student's achievement of course objectives. Make-up work If an on-campus class session is missed, all work for the missed session made up prior to the next class session will result in no point loss OR if an online posted DUE date is missed, all work uploaded within the week of when the online assignment was due will result in no point loss. Late assignments submitted Weeks 2-7 Beyond 7 but within 14 days on campus OR beyond the week but within 2 weeks of when the assignment was due online will receive a reduction of 10% of the assignment's points Beyond 14 days on campus OR beyond 2 weeks when the assignment was due online will receive a reduction of 20% of the assignment's points Late assignments submitted Weeks 8, 9, or 10 on campus / online will receive a reduction of 25% of the assignment's points. No assignments will be accepted after the last day of the quarter. The following Grading Scale, based on the percentage of total points earned, is used to calculate the course grade: Letter Grade A A- B+ B B- C+ F Range 93.00 -100.00 % 90.00 - 92.99 % 87.00 - 89.99 % 83.00 - 86.99 % 80.00 - 82.99 % 77.00 - 79.99 % 70.00 - 76.99 %