Introduction to Statistics plus Support for Statistics (STAT C1000+80S)
Course Syllabus
Instructor Information:
Name: James Fredericks
E-mail: Please contact me through the Canvas Inbox . I'll respond to your messages within 48 hours. If you do not hear back from me by then, please contact me again. If you are unable to access the Canvas Inbox, then you can email me jfrederi@ccsf.edu.
Phone: (415) 452-4860 (messages only)
Office Hours: Thursdays, 9:30 A.M. to 10:30 A.M., or by appointment, in Zoom.
Course Information:
Meeting Times:
There will be no regular class meetings, but you are welcome to come to office hours. You can also make an appointment to meet with me.
Textbook:
The required textbook is available free of charge online from Online Learning Initiative (OLI). The full link is https://oli.cmu.edu/courses/probability-statistics-open-free/. Please note that you must set up an account in order to access the online textbook.
Calculator:
A scientific calculator is recommended.
Generative AI Policy:
In this course, students should not use generative AI tools (such as ChatGPT) when completing assignments, except when specifically permitted. Given the rapidly changing nature of this technology, students who are interested in exploring the use of these tools with respect to their course work should consult with the instructor about possible allowed usage. Any assignment using uncited or unpermitted use of generative AI tools may receive a grade of 0.
Overview:
We will be covering sections from Modules 1 through 17 in the textbook.
Upon completion of this course a student will be able to:
Critique studies based on sample statistics in order to make informed judgments on the reliability of the statistical presentation or argument.
Analyze raw data using graphical, tabular, and analytical exploratory tools in order to investigate and describe patterns in data, make comparison among data sets, and look for relationships between data sets.
Evaluate, interpret, and describe data distributions through the study of sampling distributions and probability theory.
Apply appropriate statistical models to estimate population parameters and determine the validity of hypotheses.
Grading Information:
There will be up to 16 Written Assignments, up to 15 Online Canvas Quizzes, and 1 Final Assignment. The assignments will be announced in class, as well as in Canvas. You must show acceptable work on your written work. The final exam will be cumulative. There will be no make-up assignments unless there is an emergency. Then you must make arrangements with me prior to the due date. In the case of an emergency on the day of an exam, contact me via email prior to class to make arrangements to take the exam. If you are going to miss class on the due date for an assignment, get your assignment to me early or have someone deliver it to me during class on the due date.
Final Assignment:
The Final Assignment will be due on Friday, 12/19/2025, by 11:59 P.M. The details of the assignment will be in the Final Assignment module when it is released.
The grading scheme is as follows:
Written Assignments: 40%
Online Canvas Quizzes: 30%
Attendance/Participation: 10%
Final Assignment: 20%
Note: Participation will be measured by discussion activity on Canvas.
If you have a physical, psychological, or learning disability that may impact on your ability to carry out assigned course work, you are urged to contact the staff in the Disabled Students Programs and Services office (DSPS), R323 Rosenberg library, (415) 452-5481(voice), (415) 452-5451(TDD). DSPS will review your concerns and determine, with you, what accommodations are necessary and appropriate. All information and documentation of disability is confidential.