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SCHOOL OF MATHEMATICS AND STATISTICS

STAT 2606 C – BUSINESS STATISTICS I

2021 FALL


COURSE DESCRIPTION:

Introduction to statistical computing; probability concepts; descriptive statistics; estimation and testing of hypotheses. Emphasis on the development of an ability to interpret results of statistical analyses with applications from business.

Precludes additional credit for BIT 2000, BIT 2009, BIT 2100 (no longer offered), BIT 2300 (no longer offered), ECON 2201 (no longer offered), ECON 2210, ENST 2006, GEOG 2006, STAT 2507, and STAT 3502.

Prerequisite(s): MATH 1009.

The course consists of lectures 3 hours a week, and labs 1 hour a week. The laboratory sessions will give students hands-on experience of solving problems like assignments and topics covered in the classes. During the midterm and final exams, only non-programmable scientific calculators will be permitted. We reserve the right to disallow any calculator.

DATA ANALYSIS AND EXCEL: Students are required to use EXCEL for their assignments. Data used for assignment/examples are provided at Brightspace. To use EXCEL, you may need to download MS OFFICE (https://carleton.ca/its/all-services/computers/site-licensed-software/ ) at no cost or connect to VDI (Virtual Desktop Interface) through VMWare Horizon Client or HTML. https://cudesktop.carleton.ca


EVALUATION ITEM AND DATES:

Item
Chapters and Deadlines
Weight
Assignments
Assignment 1: Week 1 – 2 (Due on Wednesday, September 29)
Assignment 2: Week 3 - 4 (Due on Wednesday, October 13)
Assignment 3: Week 5 - 6 (Due on Wednesday, November 3)
Assignment 4: Week 7 - 8 (Due on Wednesday, November 17)
Assignment 5: Week 9 - 10 (Due on Wednesday, December 1)
20%
Midterm Examination
Midterm: Saturday, November 6, 2021 (9 am - 12 pm) (Week 1 – 6)
40%
Final Examination
Between December 11 - 23, 2021
(TBA by the Registrar’s Office)
40%


TEXTBOOK:

There are NO REQUIRED textbooks. However, if you would like to order a reference book, we recommend any edition of either one of the following books:

1. Business Statistics and Analytics in Practice by Bowerman et al., Ninth edition, McGraw-Hill.

2. Business Statistics for Contemporary Decision Making, Canadian Edition, Black et al.


EVALUATION CRITERIA:

MIDTERM EXAMINATION (40%): The 3-hour midterm examination will be held at Brightspace on Saturday, November 6, 2021, from 9 a.m. to 12 p.m.

ASSIGNMENT (20%) – DUE AT BRIGHTSPACE ON ASSIGNED DATES: There will be five assignments, each counting equally toward the term mark. No late assignments will be accepted. Students must work independently on assignments and write up his/her own assignment but may seek guidance/direction from TAs/professor.

FINAL EXAMINATION (40%): The 3-hour final examination will take place at Brightspace during the official final examination period of December 11 to 23, 2021, and is scheduled by the Registrar’s Office. Please do not make travel plans prior to December 23, 2021.


ADDITIONAL COURSE POLICIES:

1. Concerns about grading on any assignment or exam must be brought to my attention within three business days of the completion of grading.

2. Students who need to miss an assignment submission or an exam for a valid reason must complete and submit the self-declaration form prior to the assessment in order to receive accommodation. In the case of an assignment or the midterm exam, the form must be submitted to the instructor. In the case of the final exam, the form must be submitted to the Registrar’s Office. For a missed assignment, the weight of the assignment will be added to the weight of the relevant exam. For a missed exam, the student will be offered a deferred exam, approximately two weeks after the original exam in the case of the midterm exam. Deferred final exam scheduling is at the discretion of the University. NOTE: You cannot defer a deferred exam.

3. Any student wishing to review their final exam must make an appointment within a two-week period following the submission of the final grades. These appointments are solely for educational purposes and are not to be treated as an opportunity to debate your grade.

4. Students are required to obtain a minimum score of 50% on each of the midterm exam and final exam. Students who fail to do so will automatically be assigned a grade of F in the course. Exceptions to this rule may be made at the discretion of the instructors.

5. Students are required to submit and obtain a minimum grade of 50% on at least three of the five assignments. Students who fail to do so will automatically be assigned a grade of F in the course. Exceptions to this rule may be made at the discretion of the instructors.

6. You must use your Carleton email account for all email communications. I am unable to respond to non-Carleton emails due to FIPPA (Freedom of Information and Protection of Privacy Act).

7. All assignments and exams in the course will be submitted online. A document entitled Submission Instructions will be posted on the course page in Brightspace. Any submissions not following the Submission Instructions will not be accepted for credit.


TENTATIVE COURSE SCHEDULE (MAY BE ADJUSTED AS COURSE UNFOLDS):

Week
Date
Topics
1
Sept. 8, 10
  Descriptive and Inferential Statistics. Population and Sample.
  Qualitative and Quantitative Data. Levels of Measurement. Graphical
  Displays. Measures of Central Tendency. Measures of Variability.
2
Sept. 15, 17
  Percentiles. Box Plots. Identifying Outliers. Experiment and Sample
  Space. Assigning Probability to an Outcome. Events; Intersection,
  Union, and Complement. Venn Diagrams. Mutually Exclusive Events.
  Addition Rule.
3
Sept. 22, 24
  The mn Rule. Combinations. Conditional Probability. Multiplication
  Rule. Independent Events. Law of Total Probability. Bayes’ Theorem.
  Probability Trees.
4
Sept. 29, Oct. 1
  Discrete Random Variables: Probability Distribution, Expected Value,
  and Variance. Binomial Probability Distribution. Poisson Probability
  Distribution. Continuous Random Variables. Exponential Probability
  Distribution.
5
Oct. 6, 8
  Normal Probability Distribution. Normal Percentiles. Sampling
  Distribution of the Sample Mean and Sample Proportion. Central Limit
  Theorem. Point Estimation versus Interval Estimation.
6
Oct. 13, 15
  Confidence Intervals for a Population Mean (known variance), and
  Sample Size Determination for a given Margin of Error. The Student’s
  t Distribution. Confidence Intervals for a Population Mean (unknown
  variance). Confidence Intervals for a Population Proportion, and
  Sample Size Determination for a given Margin of Error.
7
Oct. 20, 22
  Introduction to Hypothesis Testing using p-values. Test about a
  Population Mean (known and unknown variance). Test about a
  Population Proportion. Critical Values. Type I and Type II Errors.

Oct. 25 – 29
  Fall Break, no classes.
8
Nov. 3, 5
  Inference for Comparing Two Population Means (known variances,
  unequal unknown variances, equal unknown variances). Paired
  Experiments. Inference for Comparing Two Population Proportions.
9
Nov. 10, 12
  Categorical Data Analysis. Goodness of Fit Test. Contingency Tables.
  Test for Independence. Test for Homogeneity.
10
Nov. 17, 19
  Correlation. Simple Linear Regression. Least Squares Regression Line.
  Test about the Slope Parameter (or Population Correlation).
11
Nov. 24, 26
  Confidence Interval for the Mean Response. Prediction Interval for a
  New Observation. Multiple Regression. Interpretation of the Regression
  Coefficients Testing the Significance of an Independent Variable.
  Regression Model Building.
12
Dec. 1, 3
  Confidence Interval for the Mean Response. Prediction Interval for a
  New Observation. Introduction to Time Series. Time Series
  Components.
13
Dec. 8
  Review for Final Exam


ADDITIONAL INFORMATION:

MATHEMATICS AND STATISTICS LEARNING ASSISTANCE PROGRAM (MS-LAP): MS-LAP supports first year mathematics and statistics courses. This free-of-charge program helps students in achieving their goals. It provides learning support and solutions to homework questions through assistance videos.

MS-LAP gives students tools to succeed while explaining step-by-step strategies and associated theories for particular problem. The program is for anyone who wants to deepen their understanding at the own pace, and in the comfort and privacy of their home.

COURSE STANDING: Standing in a course is determined by the course instructor subject to the approval of the Faculty Dean. This means that grades submitted by the instructor may be subject to revision. No grades are final until they have been approved by the Dean.

ACADEMIC INTEGRITY: Students should familiarize themselves with the Carleton University policy on Academic Integrity. This policy details those behaviours considered to be violations of academic integrity (e.g., cheating, plagiarism) and provides guidelines as to the imposition of various sanctions, including a reduction in grade, suspension, and expulsion. Also be aware of the academic integrity policy on the registrar website page at https://carleton.ca/registrar/academic-integrity/

IMPORTANT DEADLINES: September 22, 2021 is the last day to register for the course; September 30, 2021 is the last day to withdraw with a full fee adjustment; and December 10, 2021 is the last day to withdraw without academic penalty. The deferred examination will take place between January 21 – 23, 28 – 30, 2022.