Main Campus · Richards College of Business · Economics
Statistics for Business I
- Fall 2021
- Section 01
- 3 Credits
- 08/11/2021 to 12/10/2021
- Modified 08/08/2021
Course emphasis is on applications of statistics in business. Topics include methods of presenting data, numerical measures and correlation, probability theory and probability distributions, sampling distributions, estimation, and hypothesis testing.
(MATH 1111 or MATH 1113 ) and CISM 2201 and Richards Col Upper Division RCUD
David Boldt [email protected]
Office Phone: 678-839-4771
Office: RCOB 1311 (Miller Hall)
Note: Please contact me using my campus email address ([email protected]). I do not utilize the email function in CourseDen. If I need to individually contact students in the class, I will do this via your official university email address. However, I will post announcements impacting the entire class in CourseDen.
Tuesday and Thursday 3:30-5:00pm, Monday and Wednesday 9-11 am, after class and other times by arrangement.
The class meets on Tuesday and Thursdays from 5:30-6:45pm
1) Introductory Business Statistics (OpenStax, 2018). There is no need to purchase this book. Chapters that we use from this book will be uploaded into the CourseDen site for the course.
2) You will also be required to watch selected videos from the statistics video series titled “Against All Odds.” The videos can be found at (https://www.learner.org/series/against-all-odds-inside-statistics/ ).
3) Powerpoint lecture notes for the course will be posted on the Course Den site.
COURSE LEARNING OBJECTIVES: Students will:
- construct and interpret tabular and graphical methods of presenting qualitative and quantitative data.
- construct and interpret summary numerical measures of location, variability, and association for the sample and the population.
- apply basic probability concepts, expected value, and variance to a variety of business applications
- use discrete and continuous probability distributions and sampling distributions in a variety of business applications.
- construct and interpret interval estimates and be able to determine the required sample size for constructing interval estimates.
- estimate regression models, evaluate the results of regression models, and use the results for prediction and forecasting.
- use Microsoft Excel to generate descriptive statistics and perform regression and correlation analysis.
Grading in the course will be based on your performance on four exams, four in-class quizzes and a take-home assignment (using Excel). The examinations will be composed of short answer and multiple-choice questions based on class lecture/discussion and on the assigned videos from the Against All Odds video series. Each of the exams will be worth 21% of your grade. The exams will be taken in-class. If you must miss an exam, you will need to take the comprehensive final (as the makeup). For students who have completed all four exams, I will allow the final to replace your lowest exam (assuming the grade on the final is better than your lowest exam). There will also be four in-class quizzes during the semester. The dates for these quizzes are listed in the Course Schedule. These quizzes will contain questions based on the Against All Odds Video series. The quizzes will count for a total of 8% of your grade (2% per quiz). There will be one take-home assignment in the course (using Excel). The assignment will involve using the graphical and statistical features of Excel including simple linear regression. This assignment will count for 8% of your grade. Details on the assignment will be provided at a later date.
There will be one take-home assignment in the course (using Excel). The assignment will involve using the graphical and statistical features of Excel including simple linear regression. This assignment will count for 8% of your grade. Details on the assignment will be provided at a later date.
See the syllabus (posted in CourseDen) for a detailed schedule for the course.
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About the Richards College of Business
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