Comm 291 syllabus PDF

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syllabus of commerce 291...

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Commerce 291 — Jan – Apr 2019 (2018W2)

Course Outline

COURSE INFORMATION Division: Operations and Logistics Course Administrator/UGO Support: Instructor: Jonathan BERKOWITZ HA 475 ................. April HWANG [email protected] Course duration: January 2 – April 4, 2019 Course website: Canvas COURSE OBJECTIVES AND DESCRIPTION The objective of COMM 291 is to give you an understanding of how statistics operates in business and commerce, and how essential the basic concepts are to modern business practice. You will learn thoroughly how to think about data, data analysis, statistical inference and model-building. This course will provide the knowledge necessary for you to apply the main techniques of statistics in a wide variety of circumstances and, more importantly, will enable you to assess the legitimacy and significance of the wide variety of reports that you will come across during your career. We will use Microsoft Excel for the computational aspects of the course. INSTRUCTOR Dr. Jonathan BERKOWITZ is your professor and CEO (Chief Educational Officer) Office: HA 475 Telephone: On-campus – 604-822-8431 Off-campus – 604-263-1508 E-mail: [email protected] Office Hours: Tue & Thu, 12:45-1:45 pm, and by arrangement. Additional hours will be announced near exam time. ADMINISTRATION April HWANG is your CAO (Chief Administrative Officer): All administrative enquiries should be addressed to her at: [email protected] All content-related questions should be addressed to your instructor. SECTIONS All sections of the course will follow the same schedule of topics and will have the same exams and assignments. However, you MUST attend the section you are registered in! We mean it! Sec. Days Time Room 201 T/Th 9:30–11:00 HA 098 202 T/Th 11:00–12:30 HA 098 203 T/Th 2:00– 3:30 HA 098 204 T/Th 3:30– 5:00 HA 098 OPTIONAL TUTORIALS (beginning in Week 2) Albina GIBADULLINA is your CTO (Chief Tutorial Officer) – i.e. the course tutor. E-mail: [email protected] Students from any section are welcome to drop in to any tutorial session: Day Time Room Tue. 12:30–2:00 HA 343 Wed. 2:30–4:00 HA 237 Thu. 12:30–2:00 HA 343 The three tutorials each week are identical, so come to any one of them. Each week, tutorials will cover material from the previous week, review main concepts and solve practice questions. Additional review sessions will be held before the midterm and final exams. Tutorial slides will be posted weekly on Canvas. In past years, students who regularly attended tutorials reported better understanding of the course material, so you are strongly encouraged to attend!

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Jan – Apr 2019 (2018W2)

Commerce 291 — Applications of Statistics in Business Course Outline

OFFICE HOURS: Albina will also hold office hours. Information, when available, will be posted on Canvas.

OTHER LEARNING ASSISTANCE The PASS program (Peer-Assisted Study Sessions) will be offered for COMM 291. These weekly sessions are informal drop-in study sessions run by student leaders. Details will be provided later. REQUIRED TEXTBOOK AND COURSE MATERIALS , 2nd Canadian Edition Sharpe, NR; De Veaux, RD; Velleman, PF, Berkowitz, J. Pearson Canada Inc., 2019, 2015. IMPORTANT: This is the second edition of a great text. I know it’s great – I wrote the Canadian editions. MyStatLab: A newly purchased textbook comes bundled with an access code for MyStatLab, an online resource that supplements the text. It has a wealth of study resources, answers to selected exercises, practice questions, and much more . IMPORTANT! Registration instructions will be posted on Canvas. NOTE: Mini pre-tests and post-tests are required assignments. These will help you keep on track with the material. There are deadlines to complete each of the tests. Answers to Textbook Questions: For copyright reasons, textbook solutions cannot be posted on the course website. Answers to odd-numbered questions are in the back of the text and in the e-text, available through MyStatLab. The authors state their goal as: “Read This Book! The best textbook in the world is of little value if students don’t read it.” The book has many excellent features: check them out! • Advice #1. Read the Preface to see how this book differs from most others and for explanations of the features. • Advice #2. The text has many excellent exercises based on interesting and realistic data. Statistics is not a spectator sport; you need to be an active participant. Test yourself regularly using examples and problems in the text. You cannot learn the course material without practising! Canvas: You will find announcements, assignments, course notes, and any other teaching materials and information on Canvas. For website questions contact the course administrator. Check the website frequently: http://canvas.ubc.ca/ and login with your CWL (Campus Wide Login).

SECTION CHANGES AND NEW REGISTRATIONS Make sure you know the number of the section in which you are registered. While you are welcome to discuss any problems, complaints, etc. with your professor, he cannot authorize section changes, entries or drops. Use the online registration assistance form or contact the Commerce Undergraduate Office.

CLASS LIAISON Every section will elect a Class Liaison once the term begins. If you have suggestions about classroom organization, procedures or other relevant issues, please let the liaison know so he or she can discuss them with your professor.

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Jan – Apr 2019 (2018W2)

Commerce 291 — Applications of Statistics in Business Course Outline

EVALUATION AND GRADING Your total COMM 291 mark is based on six (6) assignments, iClicker in-class participation, MyStatLab mini-tests, a midterm exam, and a final exam. Your final aggregate mark will be computed as follows: Assignments: iClicker in -class participation: MyStatLab mini-tests Midterm exam: Final exam: Total:

10% 2% 2% 32% 54% 100%

Notes: • • •

The final grade may be adjusted up or down at the discretion of the professor. Passing the course is based entirely on your computed final grade. There is no requirement that you must also achieve at least 50% on the final exam to pass the course. Final marks are subject to review by the Undergraduate Office, the Dean’s Office, and the University Senate.

INFORMATION ABOUT EXAMINATIONS The midterm and final exams will be online (like in Comm 290). Both exams will be common across all sections of the course. Both exams will be open book and notes, and you may use Excel. Although the exams are on-line and open book, you will not be allowed to consult other online resources as that would be considered cheating and called academic misconduct, with serious consequences. Policies and procedures related to online exams will be explained at a later date.

➔ Midterm Examination Friday, March 1, 2019. This is an evening exam, 6:30–8:30 pm – ROOMS TBA Start times and room numbers will be posted on Canvas nearer to the exam date. • • •

The midterm will cover course materials to the end of Chapter 11 (but very light coverage of Chapter 11) . Nearer the exam date I will tell you which sections won’t be on the midterm. Some past years’ midterm exams (with solutions and explanations) are provided on Canvas. Conflicts: Contact the course administrator; the UGO handles these situations.

➔ Final Examination The final exam date and time will be set by the Registrar's Office and will be publicized as soon as it is available in mid-February. The final exam period is April 8–26, 2019. • • • • •

The exam will be three (3) hours in duration. The exam will be cumulative; that is, it will cover all the material in the course. Past years’ final exams (with solutions and explanations) are provided on Canvas. You will be asked to identify yourself at the final exam. Bring your student ID card. If you cannot write the final, contact the Commerce Undergraduate Office.

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Jan – Apr 2019 (2018W2)

Commerce 291 — Applications of Statistics in Business Course Outline

INFORMATION ABOUT ASSIGNMENTS (10%) There will be six assignments required for this course. The objective of the assignments is to make sure you understand each section of the course material. Do not leave them until exam preparation time. Each assignment will be posted on Canvas on a Friday and will be due at 1:00 pm on Friday two weeks later (except for Assignment 4). Each assignment will consist of questions to be answered on Canvas. The Canvas questions will familiarize you with, and test the procedures for, the online format of the midterm and final exams. Assignment dates: Assignment # Assignment 1 Assignment 2 Assignment 3 Assignment 4 Assignment 5 Assignment 6

Date Posted Fri. Jan. 4 Fri. Jan. 18 Fri. Feb. 1 Fri. Feb. 15 Fri. Mar. 8 Fri. Mar. 22

Date Due Fri. Jan. 18 Fri. Feb. 1 Fri. Feb. 15 Fri. Mar. 8 (3 weeks) Fri. Mar. 22 Fri. Apr. 5

No hard copy submissions will be accepted. No late submissions will be accepted. No emailed submissions will be accepted. It is your responsibility to click “Submit” in Canvas.

USE OF ELECTRONIC DEVICES IN CLASS – “LIDS DOWN” POLICY 1. Cell or smart phones or iPads. Your phone should be on silent (vibrate turned off) and should be put away in bags. Do not use it in class unless specifically instructed to take photos. Do not text or browse the web. If we see you texting, we will ask you to leave the room for the remainder of the class so that you do not distract others. This will negatively impact your participation grade. 2. Laptops or tablets. Expect to use pen and paper, not your laptop, for note taking in class. The default use of laptops is “lids down” and you should only open up your laptop when the Instructor asks you to do so for a specific task. This will happen very rarely! When it does, close down your e-mail, browser, IM, text alerts and all social media channels. Why do we have this policy? Because we care about the quality of your learning. Not convinced? Read this article (Article #1) on why Clay Shirky (a digital marketing prof at NYU) is banning technology in the classroom. He refers to this research (Article #2) on how multi-tasking on laptops in class reduced student grades, AND the “second hand smoke” effect of reduced grades of those students sitting near those with open screens multi-tasking on non-course work. What about texting on phones? Check this research (Article #3) on the drop in grades from in-class texters. Now, think about why you signed up for this class and what you are paying for. Save texting and Facebook for non-class time. We look forward to helping you learn! Article #1: https://www.washingtonpost.com/news/answer-sheet/wp/2014/09/25/why-a-leading-professorof-new-media-just-banned-technology-use-in-class/ Article #2: http://www.sciencedirect.com/science/article/pii/S0360131512002254?np=y Article #3: http://casa.colorado.edu/~dduncan/wp/wp-content/uploads/VIP-Poster- 2012-B.pdf

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Jan – Apr 2019 (2018W2)

Commerce 291 — Applications of Statistics in Business Course Outline

LECTURE ATTENDANCE / PARTICIPATION / iCLICKERS (2%) Arrive on time and ready to learn! Students who are late for class may be refused entry at the discretion of the instructor. To encourage participation, on-time arrivals, student engagement and correct lecture attendance, iClicker questions will be asked in most lectures. A single iClicker question will count for attendance and (in most cases) also for the correct answer. Although full attendance is expected, students may miss iClicker opportunities in up to three lectures per term and no deduction will occur to the iClicker portion of the final grade. This does not mean we are expecting students to miss lectures; it means that if you occasionally forget your iClicker, your iClicker is not working, or if you are sick or have an appointment, your iClicker grade will not be penalized. Students must attend their assigned section to receive credit for attendance and participation. Giving your iClicker to a friend, or accepting an iClicker from a friend, is academic misconduct and has serious consequences.

EMAIL ETIQUETTE Please follow these guidelines of email etiquette when sending e-mails to your instructor or course administrator ([email protected]). This is especially important since over 800 students are taking the course this term. • • • • • •

In the “From” field, be sure to display your correct name (not email nicknames). Write a brief but clear Subject line that identifies the main issues in the email. In the body of your email, include your full name (last name in UPPER CASE letters) and student number, the course number (C291) and which section you are in. Use a proper greeting (e.g. Hello Dr. Berkowitz) – do not start the e-mail with “Hey” or “Hey there.” Do not refer to your instructor as “Dude.” Note that my title is Dr. or Professor, not Mr. Use one email address only for all correspondence. Dont write 2 me like ur txting :).

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Jan – Apr 2019 (2018W2)

Commerce 291 — Applications of Statistics in Business Course Outline

SCHEDULE (subject to minor modifications!) There are 25 classes, beginning Thursday, Jan. 3, 2019, and ending Thursday, Apr. 4, 2019. No classes will be held Feb. 18–22 (Midterm Break). The Midterm is on Friday Mar . 1 (evening).

Wk.

1

2

3

Dates & Classes Jan. 2–4

Syllabus (!)

Jan. 7–11 Classes:

Types of data & variables; data quality; data sources.

Ch. 1: (§1.4 to §1.6)

#2 & #3

Displaying & Describing Categorical Data.

Ch. 2 (All)

Jan. 14–18

Displaying & Describing Quantitative Data. Scatterplots, association, correlation.

Ch. 3 (All)

Introduction to linear regression (linear model, least squares, regression to the mean, R-squared). Nonlinear relationships.

Ch. 4: (§4.4 to §4.11)

Randomness and probability (definitions only). Fun with probability. Random variables (expected value, variance). Properties of combinations of random variables. Discrete probability distributions (binomial).

Ch. 5: (§5.1, §5.10)

Asst 2 Due;

Ch. 6 (All)

Asst 3 Posted

Continuous probability distributions (Normal). Calculations with the Normal; Normal approx. to binomial; Combining Normal random variables. Surveys and sampling.

Ch. 7: (§7.1-§7.5)

Sampling distribution for proportions and means. Confidence intervals for proportions.

Ch. 9 (All)

Asst 3 Due;

Ch. 11: (§11.1) Ch. 10:

Asst 4 Posted

Hypothesis tests for proportions.

(§10.1 to §10.3)

Jan. 21–25 Classes

Jan. 28– Feb. 1 Classes #8 & #9

6

Feb. 4–8 Classes #10 & #11

7

Activities

What is Statistics? Why is it important? Basic math/stat concepts you thought you knew! Brief overview of syllabus.

#6 & #7 5

Readings

Class #1

Classes: #4 & #5 4

Topics

Feb. 11–15 Classes #12 & #13

Feb. 18–22

MIDTERM BREAK - No Classes!

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Asst 1 Posted

Preface (!) Ch. 1: (§1.1 to §1.3)

Asst 1 Due; Asst 2 Posted

Ch. 4: (§4.1 to §4.3)

Ch. 8 (All)

Jan – Apr 2019 (2018W2) 8

Feb. 25– Mar. 1

More on hypothesis tests for proportions. Logic of hypothesis testing.

Ch. 10: (§10.4 to §10.8)

Classes #14 & #15

Confidence intervals and hypothesis tests for means (introduction).

Ch. 11 (All)

Friday

MIDTERM EXAM – see Information about Examinations under the EVALUATION heading above

Mar. 1; Evening 9

10

11

Commerce 291 — Applications of Statistics in Business Course Outline

Mar. 4–8 Classes

Ch. 11 (§11.6) Ch. 12 (All)

#16 & #17

Review of hypothesis test for a mean. Comparing means: two-sample t-test, paired t-test. More on interpreting hypothesis tests (significance, two types of errors, power).

Mar. 11–15 Classes

Comparing proportions: two-sample ztest.

Ch. 12: (§1 2.8)

#18 & #19

Inference for counts: chi-square tests.

Ch. 13 (All)

Mar.18–22

Statistical models and a framework for modelling. Inference for linear regression.

Ch. 16:

Asst 5 Due;

(§16.1, §16.2) Ch. 14:

Asst 6 Posted

Classes #20 & #21

Asst 4 Due; Asst 5 Posted

Ch. 10: (§10.9, §10.10)

(§14.1-§14.10) 12

Mar. 25–29 Classes

ANOVA for regression. Multiple regression.

Ch. 14 (§14.11) Ch. 15 (All)

More on multiple regression. Modelling framework revisited. Intro to other statistical methods (oneway ANOVA) – time permitting.

Ch. 15: (§15.6, §15.7) Ch. 16 (All)

#22 & #23 13

Apr. 1–4 Classes #24 & #25

Asst 6 Due

Last day of classes: Apr. 4; Final exam period: Apr. 8-26. University closed: Mon. Feb. 18 (Family Day); Fri. Apr. 19 (Good Friday), Mon. Apr. 22 (Easter Monday)

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