Econ-291 - Statistical Methods in Business and Economics - Rebecca Acosta
|Course:||Statistical Methods in Business and Economics|
Hi, I'm Dr. Acosta. I have a Ph.D. in Economics from UCLA. Along with teaching, I do economic consulting in litigation and utility regulation. I previously worked in the economics analysis branch of the U.S. Census Bureau. I will be incorporating real-life applications from current events and my personal work experiences to the principles you will learn in this class. Please, don't be afraid to ask any question--I'm here to help you learn.
In this class, you will learn to collect and analyze data. Statistics and data are everywhere, but how does one properly interpret it? By semester's end, you will be well on your way to doing just that. We will work in real-world examples of statistics and statistical analysis.
What to Expect in this Course
The class will meet via ZOOM for three hours of lecture a week. Two midterms and a final exam will be done via MyLab Statistics per the syllabus. The course in organized into 2-4 week modules by topic, with an overview page that will spell out what is to be covered and assignments or exams to finish during that module. Each module will typically contain:
- reading assignments from the textbook,
- live lectures each week, Tuesday and Thursday, 12:30-1:50pm, via Zoom through the Canvas course. You can also use the meeting ID and password to login from Zoom some other way. These will mostly be based on the text, but may also include working through sample problems, discussion of how the topic/model/calculation/test being covered in the current module is used in real life applications.
- homework assignments to be completed in the MyLab Statistics platform,
- discussion assignments to be done in Canvas,
In addition, there will be two midterms and a final, all to be completed on the myLab Statistics platform. There will also be practice tests available on the myLab Statistics platform.
There will also be a short analysis paper where you will find some data and do your own statistical analysis, using tools learned in this class to answer a question or test a hypothesis.
You will need regular access to a reliable computer with stable, high-speed internet connection. This can be either a personal computer, a computer in the COC library or in the TLC, or at a public library computer. You will need to be able to access Zoom through the Canvas course for live attendance at lectures and office hours.
You will need Excel or other spreadsheet program for this class, as well as a word processing program. You will need a .pdf file reader. Being able to convert documents to .pdf would be useful also.
Types of Assessments
(1) Homework assignments done via MyLab Statistics (2) Discussion assignments applying statistical concepts to real life applications. (3) Two midterms and a final exam will be done via MyLab Statistics. (4) Short analysis paper where you will find some data and do your own statistical analysis using tools learned in this class to answer a question or test a hypothesis.
Textbook Information / Link to ZTC Textbook
David M. Levine, Timothy C. Krehbiel, Mark L. Berenson, Business Statistics: A First Course, Prentice Hall, 2016, 7th Ed. MyLab Statistics.
You can purchase the paper text and MyLab as a package through the campus bookstore, or you can purchase just access to MyLab (with e-book version of text) directly from Pearson through the class Canvas MyLab page.
A week before class starts, I will send all registered students specific information on how to enroll in my course on the MyLab platform via the Pearson website, including the specific MyLab course ID number to use.
Other Relevant Course Information
If there is a waitlist, students will be added from the waitlist in the order they appear on the list. Non-waitlisted students will be added only if there is extra space after all waitlist students have been offered adds and before the COC-determined deadline to add classes.
This course can be accessed on the first day of class via Canvas at https://coc.instructure.com. Log into Canvas using your CanyonsID single sign-on:
- CanyonsID Username is your COC student email address (Ex: email@example.com)
- CanyonsID Password is your COC student email password
Check out the Online Education website for more information on a variety of topics that can help you be a successful online student such as: exam proctoring, learning styles, computer skills, and tips for student success. If this is your first online course, feel free to take our online learning readiness assessment to assess your skills.
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Last updated: 07/26/2021 Sub#: 423