QMS 210 - Course Outline Winter 2020 Final PDF

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Ted Rogers School of Management Department of Global Management Studies QMS 210: Applied Statistics for Business Winter 2020 Instructor’s Name: Mahsa Madani Hosseini Office Location: TRS 3-137 Office Hours: Friday 3:30PM -5:00PM (by appointment) Phone: 416.979.5000, ext. 3851 Course Website: my.ryerson.ca (for courses using D2L) Email: [email protected] (Include any instructions or limitations on students’ use of email in the course, as well as any preference for other means of contact. You can make it clear that, in accordance with the Policy on Ryerson Student E-mail Accounts (Policy 157), Ryerson requires that any electronic communication by students to Ryerson faculty or staff be sent from the/ir official Ryerson email account). Pre-requisites and/or Exclusions: None Anti-requisites: QMS 202, QMS 230, HIM 408

Course Description This course introduces both descriptive and inferential statistics. Students learn to use descriptive statistics, in both numeric and graphic formats, as well as inferential statistics to support managerial decisions in applied business contexts. Topics include grouped frequency distribution, measures of central tendency and variability, probability theory, sampling distribution, confidence intervals, hypothesis testing, and linear and multiple regression. E-mail Usage & Limits: Students are required to activate and maintain a Ryerson Matrix e-mail account. This shall be the official means by which you will receive university communications. Professor will not respond to student enquiries from any other e-mail address. See Policy # 157 found at http://www.ryerson.ca/senate/policies/ for further information. 1

The Subject field of each e-mail must begin with the course code “QMS210”. It is requested that emails should be sent to your professor only if you cannot wait to have your question(s) answered before the next scheduled lecture. Email responses to queries about course material may be posted on the D2L website with your identity removed. Please read your announcements on D2L frequently. Please allow at least 24-hour response time, excluding weekends. Method of posting grades: Students who wish not to have their course grades posted must inform the instructor in writing before the second session. All marks, including Final exam marks will be posted on D2L as soon as they are available. Final Course Grades are published by the Registrar and will be available on the web at my.ryerson.ca (RAMSS) at the end of each term, approximately 10 working days after the date of the final examination. Grades will not be faxed or emailed. Learning Outcomes: Learning Goals Properly present and describe information. Numerical and graphical descriptive summary measures.

Apply probability concepts

Draw conclusions about large populations based on information obtained from samples

Learning Objectives On completion of this course, students will be able to… • Identify appropriate numerical and graphical summaries for each variable type • Interpret a set of data from a graphical presentation such as stem and leaf, frequency distribution, OGIVE, histogram, etc • Describe a set of data by measuring the central tendency and the variability of the data. • Compare variability. Decide when and how to use various probability distributions, such as Binomial, Poisson and Normal distributions, to quantify uncertainty and assess risk. Decide when and how to use various concepts and statistical techniques, such as: • Estimate population parameters from sample statistics • Perform, and understand the logic of hypothesis testing including ANOVA and Tukey-Kramer and other multiple tests with numerical data. • Understand and explain Type I and Type II errors • Use simple and multiple regression to forecast • Use SPSS or other statistical software to organize, analyze and present data in a business report format • Make recommendations to management based on statistical analysis of data 2

COURSE MATERIALS (A) Course Textbook: Business Statistics, 15th custom edition for Ryerson Ted Rogers School of Management. The MyStatLab is packaged with the textbook. (1) Textbook with mystatlab code: ISBN: 9780136701224 (2) Mystatlab code ONLY (includes e-Text): ISBN: 9780136631842 (B) Required Calculator: You are required to buy a CASIO FX-9750GII calculator. Your professor will not support or use any calculator other than this model calculator in class. If you decide to use any calculator other than the CASIO FX-9750GII, then you are responsible for learning how to use its functions on your own. The CASIO FX- 9750G PLUS calculator or an equivalent calculator is acceptable but not recommended. The CASIO FX- 9750G PLUS calculator is outdated and lacks important capabilities. The statistical tables will not be provided at tests and exams. You are not allowed to use a laptop or a portable or handheld computer in tests or exam. (C) Course Software: This course will use SPSS for the statistical analysis in addition to the recommended calculator. IBM offers a 14-days free SPSS trial. Visit www.ibm.com/SPSS-Statistics TOPICS COVERED Week 1 2 3 4 5 6

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Topic* 1. Types of Data and Measurement Scale. 2. Graphical presentation, Stem-and-leaf plot, Frequency Distribution, histogram, OGIVE 1. Measure of Central Tendency and Variability 2. Measures of Skewness 3. Which is a better measure of central tendency to describe a set of data? Discrete Probability, Binomial and Poisson Distributions 1. Normal Distribution 2. Standard normal distribution (z) 1. Central Limit Theorem, Sampling Distribution 2. Sampling Distribution of the mean 3. Sampling Distribution of the proportion Confidence Interval for Mean and proportion 1. Estimation for the mean (when s known) 2. Estimation for the mean (when s unknown) 3. Estimation for the proportion Fundamentals of Hypothesis Testing 1. Type I and Type II errors 2. Two approaches to hypothesis testing. Hypothesis testing for mean and proportion of one population

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Hypothesis testing for means of two populations 1. Comparing the means of two independent populations (s1 and s2 are known) using Z test 2. Comparing the means of two independent populations (1) pooled variance t-test and (2) separate variance t-test 3. F-test for the ratio of 2 variances 9 Hypothesis testing for mean and proportion of two populations 1. Comparing the means of two related populations 2. Comparing the proportions of two independent populations 10 One Way ANOVA 11 Simple Linear Regression 12 Multiple Regression (*the topics listed in the table above may change. If any, changes will be ann ounced in class and posted on D2L) COURSE EVALUATION Component Test 1 (90mins) Test 2 (90mins) Online assignments (12 modules) 1% for each module

Weight 16% 16% 12%

SPSS Group Project

6%

Date** Week 6* Week 10* Every week

Week 11 (Between March 27 and April 2) NOTE: due in the beginning of class Final Exam (3 hours) 50% TBA (**this approximate date and the schedule and weights in the table above may change. If any, changes will be announced in class and posted on D2L) *NOTE: The test dates will be announced in class, on D2L announcement and/or by email If the test dates fall on Saturday, it is your responsibility to arrange a day off from work. Due to rooms shortage, the test dates may fall on any day from Monday to Sunday.

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INFORMATION ABOUT TESTS/EXAM/ASSIGNMENTS 1.

AID: The tests and final exam will be CLOSED BOOK. For each test, a one-page 8.5 x 11 inch crib sheet (two- sided) will be permitted. For the final exam, 3 crib sheets (two- sided) will be permitted. Please note that a BLANK crib sheet is not allowed in the examination room. It shall be removed. There is sufficient space on the test paper to do your rough work. Any inappropriate crib sheets will be removed during the test and examination. You must write your name on your crib sheet. We reserve the right to remove your crib sheet. Your crib sheets can be either handwritten or typed. Crib sheets that are xeroxed or photocopied are NOT allowed and will be removed.

2. TEST/EXAM: The final exam will be of 3 hours in duration. Each test will be approximately 90 minutes in duration. The two tests will be scheduled on any day from Monday to Sunday. If the tests fall on Saturday and you have work on Saturday, please make the necessary arrangement with your employer so that you could write on Saturday. If you have religious accommodation on the test days, you must submit a Request for Accommodation of Student Religious observances before week 3 so that we can arrange for you to write the test in Week 5 on a Thursday evening. The format of the test will be different from the regular test but the level of difficulty is the same. Please refer to https://www.ryerson.ca/senate/course-outline-policies/missed-tests-examinationscourse-management-policy-166/ for more information. Topics covered on tests/exam. (Note: topics covered in tests listed below may change. Changes (if any) will be announced in class and posted on D2L.) • Test 1 will cover all topics from week 1 to week 5 inclusive. • Test 2 will cover all topics from week 6 to week 9 inclusive. • The Final Exam will cover all topics from week 1 to week 12 inclusive. 3. MyStatLab ONLINE ASSIGNMENTS MyStatLab is the online homework software. The access (or mystatlab) code to this software is included with your textbook. It is a course requirement that you complete and submit all your homework using MyStatLab to earn 12% of the course assessment. There are 12 assignments, one per week. We do not accept hardcopy of your assignments. The due date for each module is posted on the MyStatLab site. Online assignments are marked automatically at deadline and late assignments are not acceptable. Excuses related to technology such as laptop breakdown, server down, cannot access the website, etc. are not considered 2

Registration of Mystatlab: You must register for MyStatLab by yourself on D2L. Follow the instructions posted on D2L to register and access MyStatLab site. Use the code appended in the textbook to register for your MyStatLab. You will not earn your homework marks from using a temporary code unless you upgrade it to the permanent status before the temporary code expires.

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In order to record your marks accurately, you must use the same legal name (as you had used to register in this course) to register for your MyStatLab. Do not use your truncated name or nickname such as “Hello Kitty”, “Super Hero” etc. If your professor cannot match your name on myStatLab with your registered name for this course, you will receive a zero mark for this homework. 4. GROUP PROJECT This project should be done in groups of 2 to 5 members. It is your responsibility to form a group and submit your member names and student numbers to your professor by week 7. Policy for late submission: There will be a 5 marks penalty (or 10% of the project mark) for every day after Lecture 11 including weekends. No makeup will be allowed.

POLICY FOR WRITING THE TESTS AND EXAM Photo ID required: You must display either your Ryerson student identification card or driver’s license on your desk at all times during the test/exam. No other form of photo Identification is accepted. You are not allowed to write your test/exam if you do not have proper photo identification. Your test mark will be zero.

POLICY ON MISSED CLASSES AND/OR TESTS/EXAM When possible, students are required to inform their instructors of any situation which arises during the semester which may have an adverse effect upon their academic performance, and must request any consideration and accommodation according to the relevant policies as far in advance as possible. Failure to do so may jeopardize any academic appeals. • Health certificates – If students miss the deadline for submitting an assignment, or the date of an exam or other evaluation component for health reasons, they should notify their instructor as soon as possible, and submit a Ryerson Student Health Certificate AND an Academic Consideration Request form within 3 working days of the missed date. Both documents are available at www.ryerson.ca/senate/forms/medical.pdf. If you are a fulltime or part-time degree student, then you submit your forms to your own program, department or school; otherwise, you submit your forms to the front desk of the Chang School of Continuing Education. • Religious, Aboriginal and Spiritual observance – If students need accommodation because of religious reason, Aboriginal or spiritual observance, they must submit a Request for Accommodation of Student Religious, Aboriginal and Spiritual Observance AND an Academic Consideration Request form within the first 2 weeks of the class and for a final examination, within 2 weeks of the posting of the examination schedule. If the requested absence occurs within the first 2 weeks of classes, or the dates are not known well in advance as they are linked to other conditions, these forms should be submitted with as much lead time as possible in advance of the absence. Both documents are available at http://www.ryerson.ca/senate/forms/relobservforminstr.pdf. If you are a full-time or part6

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time degree student, then you need to submit the forms to your own program, department or school. If you are a certificate or non-certificate student, then you need to submit the forms to the staff at the front desk of the Chang School. Academic Accommodation Support – Before the first graded work is due, students registered with the Academic Accommodation Support office (AAS) should provide their instructors with an Academic Accommodation letter that describes their academic accommodation plan.

No Accommodation for Missed Test 2 You must submit all supporting documentation to your program office within 3 working days of the missed test(s). If either your notification or your document is not received in time, your test mark will be zero. If your documentation is approved, the weight of test 2 will be added to the final exam (16%+50%=66%). It is your responsibility to notify your professor.

Accommodation for Missed Test 1 or Exam In case of a missed Test 1 or Final Exam you must notify your professor and submit all supporting documentation to your program office within 3 working days of the test/exam. If either your notification or your document is not received in time, your mark will be zero. The reason for absence must be acceptable by the University. If your documentation is approved, a makeup test/exam will be scheduled by your professor. Students are expected to write makeup test/exam as scheduled. It is the student’s responsibility to contact the professor to arrange for the make-up test/exam. Students who missed the scheduled makeup test date, with approved documentation, will have the weight of the missed test added to their exam. However, only one of the two tests weightage is allowed to be added to the final exam. The other test mark will be zero. Please note that makeup Test 1 must be written before the test 2 date. Format of makeup test/exam: A variety of test-question format types will be used, which includes multiple-choice questions, short answer questions and long answer questions.

Missed both makeup test 1 and test 2 NOTE: you have to write your makeup test 1 before test 2. In the case if you failed to write your makeup test 1 before the regular test 2 date and if you also missed your test 2, then your test 1 mark is adjusted to zero. The test 2 weight, 16%, will be added to the final exam weight, i.e 16%+50%=66%. All these adjustments are subjected to the approval of documentation.

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POLICIES AND COURSE PRACTICES Course Management Every effort will be made to manage the course as stated. However, adjustments may be necessary during the term at the discretion of the professor. If so, students will be advised by announcements in class, by email and/or posted on D2L. Academic Integrity Ryerson’s Policy 60 (the Academic Integrity policy) applies to all students at the University. Forms of academic misconduct include plagiarism, cheating, supplying false information to the University, and other acts. The most common form of academic misconduct is plagiarism – a serious academic offence, with potentially severe penalties and other consequences. It is expected, therefore, that all examinations and work submitted for evaluation and course credit will be the product of each student’s individual effort (or an authorized group of students). Submitting the same work for credit to more than one course, without instructor approval, can also be considered a form of plagiarism. Students are advised that suspicions of academic misconduct may be referred to the Academic Integrity Office (AIO). Students who are found to have committed academic misconduct will have a Disciplinary Notation (DN) placed on their academic record (not on their transcript) and will normally be assigned one or more of the following penalties: • A grade reduction for the work, include a grade of zero for the work. • A grade reduction in the course greater than a zero on the work. (Note that this penalty can only be applied to course components worth 10% or less, that any additional penalty cannot exceed 10% of the final course grade, and that information explaining that such a penalty will be assigned must be included on the course outline.) • An F in the course • More serious penalties up to and including expulsion from the University The unauthorized use of intellectual property of others, including your professor, for distribution, sale, or profit is expressly prohibited, in accordance with Policy 60 (Sections 2.8, 2.10) http://www.ryerson.ca/senate/policies/pol60.pdf. Intellectual property includes, but is not limited to: • Slides • Lecture notes • Presentation materials used in and outside of class • Lab manuals • Course packs • Exams For more detailed information on these issues, please refer to the full online text for the Academic Integrity policy and to the Academic Integrity website. Turnitin.com Turnitin.com is a plagiarism prevention and detection service to which Ryerson subscribes. It is a tool to assist faculty members in determining the similarity between students’ work and the work of other students who have submitted papers to the site (at any university), internet sources, and a 8

wide range of journals and other publications. While it does not contain all possible sources, it gives faculty some assurance that students’ work is their own. No decisions are made by the service; it generates an “originality report,” and faculty must evaluate that report to determine if something is plagiarized. Students agree by taking this course that their written work will be subject to submission for textual similarity review to www.turnitin.com for the detection of plagiarism. All submitted papers will be included as source documents in the www.turnitin.com reference database solely for the purpose of detecting plagiarism of such papers. Use of the www.turnitin.com service is subject to the terms of use agreement posted on the turnitin.com website. Students who do not want their work submitted to this plagiarism detection service must, by the end of the second week of class, consult with me to make alternate arrangements. Important Resources Available at Ryerson o The Library provides research workshops and individual assistance. Inquire at the Reference Desk on the second floor of the library, or go to www.ryerson.ca/library/info/workshops.html o Student Learning Support offers group-based and individual help with writing, math, study skills and transition support, and other issues. Maintaining a Professional Learning Environment Laptop computers, cell phones, or other devices should not be used for non-classroom activities as they are distracting to other students, speakers and your professor. Students not complying will be asked to leave the class.

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Academic Grading Policy Evaluation of student performance will follow established academic gr...