My exam is not proctored. Its business statistics (check outline). The exam will be on May 1st from 14:00 to 17:00. I want to get a quote? and how can I guarantee the privacy of my personal info?
COMM215-outline Business Statistics Course Outline Course Name: COMM 215 Session: Winter 2021 Credits: 3 Instructor: Dr. Amir Hosseinipour Office Hours: By Appointment Email:
[email protected] * Section: E Day: Fridays Time: 2:45 PM - 5:30 PM Zoom URL: https://concordia-ca.zoom.us/j/87631084099 * All communications with the instructor MUST be through Concordia Email only. The instructor does NOT respond to emails out of Concordia University domain. 2 COMM 215 BUSINESS STATISTICS – at a glance: Weekly Activities Date Weekly Activities Evaluation Week 1: January 10– January 16 January 11 University opens January 13 Classes begin Chap 1: An Introduction to Business Statistics & Analytics; All Sections + Appx. Chap 2: Descriptive Statistics & Analytics: Tabular & Graphical Methods; All Sections + Appx. Week 2: January 17– January 23 Chap 2: … continued Chap 3: Descriptive Statistics and Analytics: Numerical Methods; Sections 3.1- 3.6; + Appx. January 23 Data Analysis Project (DAP) Team formation begins (sign-up Google sheet) DAP Teams start Week 3: January 24 – January 30 Chap 3: … continued Chap 4: Probability and Probability Models; Sections 4.1 - 4.6 January 26 Deadline for withdrawal with tuition refund (DNE) from fall-term and two- term courses January 26 Last day to add fall-term and two-term courses January 30 DAP Team formation ends at 24:00 DAP Teams due January 30 CONNECT 1 Study Activities on Chaps 1 and 2 due on or before 18:00:00 CONNECT 1 Week 4: January 31 – February 6 Chap 4: … continued Chap 6: Discrete Random Variables; Sections 6.1 - 6.3; + Appx. for Binomial distribution January 31 Data Analysis Project (DAP) assignment accessibility starting at 00:00:01 DAP accessible January 31 Quiz 1 on contents covered in Chaps 1 and 2, 9:00 -10:00 AM QUIZ 1 February 6 CONNECT 2 Study Activities on Chaps 3 due on or before 18:00:00 CONNECT 2 Week 5: February 7 – February 13 Chap 6: … continued Chap 7: Continuous Random Variables; Sections 7.1, 7.3, 7.4; + Appx. February 7 Quiz 2 on contents covered in Chap 3; 9:00 – 10:00 AM QUIZ 2 February 13 CONNECT 3 Study Activities on Chaps 4 due on or before 18:00:00 CONNECT 3 Week 6: February 14 – February 20 Chap 7: … continued Chap 8: Sampling Distributions; Sections 8.1, 8.2 February 14 Quiz 3 on contents covered in Chap 4, 9:00 – 10:00 AM QUIZ 3 February 20 CONNECT 4 Study Activities on Chaps 6 and 7 due on or before 18:00:00 CONNECT 4 Week 7: February 21 – February 27 Chap 8: … continued Chap 9: Confidence Intervals; All Sections + Appx. February 21 Quiz 4 on contents covered in Chaps 6 and 7; 9:00-10:00 AM QUIZ 4 3 Week 8: February 28 – March 6 Chap 9: … continued Chap 10: Hypothesis Testing; Sections 10.1 - 10.4; + Appx. February 28 Midterm exam on contents covered in chapters 1 to 4 & 6 to 7; 02/28/2021, 9:00 – 11:30 AM Midterm Exam March 1 University closed March 1 Mid-term break begins Week 9: March 7 – March 13 Chap 10: … continued Chap 13: Chi Squared Tests; Sections 13.1 – 13.2; + Appx. March 7 Mid-term break ends March 13 CONNECT 5 Study Activities on Chaps 8 and 9 due on or before 18:00:00 CONNECT 5 Week 10: March 14 – March 20 Chap 13: … continued Chap 14: Simple Linear Regression Analysis; Sections 14.1 – 14.6; + Appx. March 14 Quiz 5 on contents covered in Chaps 8 and 9; 9:00 - 10:00 AM QUIZ 5 Week 11: March 21 – March 27 Chap 14: … continued March 27 CONNECT 6 Study Activities on Chaps 10, 13, due on or before 18:00:00 CONNECT 6 Week 12: March 28 – April 3 Chap 14: … continued Chap 15: Multiple Regression and Model Building; Section 15.1-15.7; + Appx. March 28 Quiz 6 on contents covered in Chaps 10 and 13; 9:00 – 10:00 AM QUIZ 6 March 29 Deadline for academic withdrawal without tuition refund (DISC) from fall-term courses April 2 University closed (Make-up date: April 22) April 3 University closed (Make-up date: April 22) Week 13: April 4 – April 10 Chap 15: … continued April 4 University closed April 5 University closed (Make-up date: April 21) April 10 CONNECT 7 Study Activities on Chap 14 due on or before 18:00:00 CONNECT 7 Week 14: April 11 – April 17 April 11 Quiz 7 on contents covered in Chap 14; 9:00 – 10:00 AM QUIZ 7 April 13 CONNECT 8 Study Activities on Chap 15 – recommended completion before the final exam CONNECT 8 April 13 DAP Report Submission/Uploading deadline 4/13/2021, before 24:00:00. DAP Upload Due April 13 Week 15: April 18 – April 24 April 20 April 21 April 22 April 22 Examinations Period April 24 – May 9 For the online final exam date/time, see your MyConcordia Portal 4 COURSE DESCRIPTION This course introduces the fundamentals of statistics as applied to the various areas of business and administration. Topics covered include techniques of descriptive statistics, basic theory of probability and probability distributions, estimation and hypotheses testing, chi-square tests in contingency table analysis and for goodness-of-fit, and linear regression and correlation. Prerequisite: MATH 208 or equivalent and MATH 209 or equivalent; DESC 200 or INTE 290 or COMP 248 previously or concurrently. LEARNING OBJECTIVES This course introduces statistics as a tool for dealing with information in a quantitative form. Students will learn statistical skills that will contribute effectively to management and policy formation. This course aims at helping the student to achieve the following learning objectives: 1. Understand the essentials of business data collection and the identification of different types of measurements. 2. Describe collected data using various graphical, tabular, and numerical summary methods. 3. Understand the notion of probability and sampling variability and their role in business decision making for both continuous and categorical data measurements 4. Analyze observational or experimental studies involving multi-dimensional data using the technique of regression. 5. Use statistical software package and/or EXCEL statistics add-in for the analysis of business data and the effective presentation of statistical findings. TEACHING METHOD The courser is a combination of both live zoom lectures and prerecorded videos. Practical examples in class and practice problems are presented in business and economics settings. These examples are drawn from a variety of areas such as accounting, management, finance, marketing, production, economics, and business information systems. The teaching methods include class lectures, supports available during tutor office hours and tutorials (schedules announced on Moodle), and group / individual work on case analyses of real-life business problems. There are also additional review questions, some of which may be attempted online. COURSE MATERIALS The material for this course consists of a required textbook and contents available on Moodle, which include multiple- choice review questions, review problems with solutions and solutions to most odd-numbered questions from the textbook, video lectures, assignments, and other course material. To learn how to get started with Moodle, visit http://www.concordia.ca/iits/services/teaching-learning/moodle.html You should visit Moodle regularly for new postings and announcements. 5 Required Textbook Textbook Title: Business Statistics and Analytics in Practice Author: Bowerman, Drougas, Duckworth, Froelich, Hummel, Moninger, and Schur ISBN: 9781260187496 / 1260187497 Publisher: McGraw-Hill Edition: 9th. COVERED CHAPTERS AND SECTIONS Chap 1: An Introduction to Business Statistics and Analytics Covered sections: All + Appx. Chap 6: Discrete Random Variables Covered sections: 6.1 - 6.3; + Appx. for Binomial distribution Chap 10: Hypothesis Testing Covered sections: 10.1 - 10.4; + Appx. Chap 2: Descriptive Statistics and Analytics: Tabular and Graphical Methods Covered sections: All + Appx Chap 7: Continuous Random Variables Covered sections: 7.1, 7.3, 7.4; + Appx. Chap 13: Chi-Square Tests Covered sections: 13.1 – 13.2; + Appx. Chap 3: Descriptive Statistics and Analytics: Numerical Methods Covered sections: 3.1-3.6; + Appx. Chap 8: Sampling Distributions Covered sections: 8.1 - 8.2 Chap 14: Simple Linear Regression Analysis Covered sections: 14.1 – 14.6; + Appx. Chap 4: Probability and Probability Models Covered sections: All Chap 9: Confidence Intervals Covered sections: All + Appx. Chap 15: Multiple linear Regression and Model Building Covered sections: 15.1-15.7; + Appx. Additional Resource Materials The textbook is packaged with additional resources: • Minitab, Statistical Software Package – most recent version for data management and analysis • McGraw-Hill’s CONNECT – a web-based assignment and assessment platform accessible via the publisher’s online learning system • To access Connect, you must access Moodle, then register with your code when the book is purchased. The resources available in Connect include in particular: § All digital learning experiences § Online adaptive learning tools (SmartBook®/LearnSmart®) § Online practice questions, videos, interactives § Robust learning and progress reports Note: Commercial uses and unauthorized production and distributions of the provided materials are strictly prohibited. 6