NOTE: The state of the art for exams that were usually proctored is still uncertain. Wait for more news as the course start approaches.
Math 247: Introductory Statistics – CRN: 74136
Instructor: Guillermo Alvarez
Email Address: firstname.lastname@example.org
Phone Number: 805-546-3100 ext. 2917
Office Location/ Hours: Office 2701, and Online Office Hours by appointment.
Instructor Contact Expectations:
The best and fastest way to contact me is by email. I will generally respond to your emails within 24 hours during weekdays only. During busy times of the semester, the response time may increase to 48 hours. On weekends, I will do my best to get back to you ASAP but I cannot guarantee an expeditious response.
This online course will be using a Web-based Learning Management System Canvas as the method to disseminate information. Canvas provides the framework for the course including PowerPoint presentations, student data files, the tools to receive and send course materials, and a grade book. Using the communication tools, you can communicate using e-mail, and you can share materials and ideas with other course participants via the discussion forums and groups.
There will be quizzes, a midterm and a cumulative final exam. The quizzes will be 90 minutes long, and the final exam will be 120 minutes long. The dates for those exams will be included in the syllabus.
Class opens / Accessing Canvas:
You can access Canvas by logging into MyCuesta, then clicking on the Resources Tab, then clicking on Canvas in the Online Learning Channel, or by typing the Canvas address (https://cuesta.instructure.com/) into your browser address bar. Do not bookmark / favorite the canvas site after your login, or you will get an error message next time you try to log in. You must access the canvas log in directly.
If you are not familiar with logging into canvas, please refer to the Canvas Quick Reference Guide.
Once logged into Canvas you will be directed on where to get started. Be sure to read all the directions on the course home page.
If you are having difficulty logging into Canvas after the first day of class and need assistance please email me or technical support at this email address: email@example.com.
If you have never taken an online class or this is your first experience with Canvas, please be patient with yourself. Online classes are not inherently easier, although they may be much more convenient for many students. You should expect to spend at least as much time, if not more, on this course as you would on a course that meets face to face. Since there is no lecture component, much of this time will be self-directed and there will be a substantial amount of reading, viewing, studying, and writing required. This course is completely online using Canvas; all coursework, other than exams (lectures, discussions, homework assignment…) is submitted online. See the Exam Information section above. Please be prepared to spend at least 12 hours per week on coursework for this class.
IS an ONLINE CLASS FOR YOU?
- First, go to the Online Readiness Resources to take a "self-assessment”. There are many resources that were designed to help you understand the basis for an online class and the skills necessary for success. (If the tutorials do NOT describe you, then taking this class online is NOT for you and I strongly suggest that you drop the online class and enroll in a traditional classroom section.)
Regular Effective Contact policy:
Regular and Effective Instructor Contact will be met through weekly instructor initiated threaded discussion forums; weekly announcements to students; timely and effective feedback on student assignments; email, phone or messaging to individuals; and virtual office hours.
Presents a study of basic descriptive and inferential statistics with applications using data from a broad range of disciplines and use of technology for statistical analysis. Prerequisite: MATH 128 or MATH 127 or MATH 126B with a minimum grade of C or better. Transfer: CSU; UC (For UC, 4 credit maximum between MATH 236 and 247). (Formerly MATH47)
[For the official course description and course outline of record please go to CurricUNET]
Student Learning Outcomes
- Calculate summary measures including point and interval estimators of population parameters and interpret them.
- Calculate probabilities for various experiments including experiments where counting formulas are required.
- Describe sampling variability and how it applies to a real-world estimation problem.
- Perform a hypothesis test to answer a specific research question and interpret the results.
- Calculate and interpret measures of association between two variables. Analyze a graph or table and use the information to answer follow-up questions in either set-theory, graph theory, or logic problems.
Text Book and Materials
- Introductory Statistics, 3ed. Gould and Ryan. With MyStatLab. ISBN:
- You may purchase a MyStatLab access code from Pearson at the time the course begins for about $75-$115. This will give you access to the online homework system (MyStatLab), the online statistical software (Statcrunch), as well as online access to the textbook.
- If you would like to purchase a physical textbook (not required), you may do so from the bookstore, or online options. Note: the Cuesta College bookstore has a price matching guarantee.
- Supplemental Materials necessary for the class:
- Technology tools outside the LMS:
Cuesta students are encouraged to direct all technical support inquiries to firstname.lastname@example.org. If you are having issues with Canvas, you should contact the Canvas Support Hotline at (877) 921-7680, or click on the help button on the Canvas Navigation to report a problem.
If you are having difficulty viewing the course or logging in, it may be because you are not using the correct url: https://cuesta.instructure.com/ or you are using your phone or using an unsupported browser.
Your learning environment is best accessed from a desktop or laptop computer, using Firefox or Chrome. This may solve your problem! Please review the browser requirements and minimum computer specifications.
This course is designed using an accessible Learning Management System, and course materials have been created with ADA compliance in mind. If you have a disability and might need accommodations in this class such as extended time on exams or other resources, please contact DSPS (Disabled Student Programs & Services).
College & Course Policies:
Academic Honesty Policy: Any students who violate the college Academic Honesty Policy will receive a 0 for the class and be reported to the Vice President of Student Services for further action. In addition to my course policy, please note all students attending San Luis Obispo County Community College District at any district site and when representing Cuesta College in any off-campus activity, assume an obligation to conduct themselves in an acceptable manner compatible with the Student Code of conduct. Please review the Cuesta College Student Code of conduct.
Add / Drop Policy: I will drop any students who do not participate in the first discussion post by the deadline. I may also drop any students who do not login to the course at least 3 days per week. In addition to my policy, please review the Cuesta policy for drops and adds.
Waitlist Policy: I will add students in the order they appear on the waitlist. I email students during the first week of class with add codes, based on available spots in the course. In addition to my course specific procedures, please review Cuesta’s waitlist procedure and instructions.