Teacher: Fred Kral, Ph.D.

Email me: fkral

Call or text me: 415-857-KRAL (5725)
Call classroom: 415-339-9336 x111
Get info on homework and more: http://teach.kralsite.com or google "Fred Kral"

Course Description

This introduction to statistics focuses on the statistical thinking behind data gathering and interpretation. Using data mainly taken from sports, students summarize, represent, and interpret data with one or two categorical and quantitative variables, interpret linear models, evaluate random processes underlying statistical experiments, make inferences, and justify conclusions from sample surveys, experiments, and observational studies. Unlike traditional statistics courses, this course relies on simulations as a major component of data analysis. Students get experience with gathering their own data. Applications outside sports are also studied.

Required text and supplemental materials

Assessment

Written Work: homework, quizzes, and tests. 25%
End-Semester Assessments: Final examination or final project. 20%
In-Class work: positive energy and interest level during in-class work including discussion, working on investigations, and practice during class. Assessed informally. 25%
Commitment to learning: Taking on what is challenging to you, getting help, communicating with the teacher, engaging with the material, and documenting work in the notebook. Assessed informally. 5%
Projects and Presentations: quality and correctness of written and graphical results and quality of delivery.

25%

Late work policy and tardy policy

The teacher enters grades once per week on a weekday communicated to the students. Students get credit for late work up to that weekly deadline. Students who are late to class or leave the classroom for an extended time during class receive a maximum of 60% of the day's in-class work credit.

 

I encourage study groups. You may work with others (not just students) unless instructed otherwise as long as all of you contribute. It is wise to put the name of each contributing student on an assignment to avoid issues with plagiarism.

 

Come visit, text, or email as often as you like! – Fred

 

Please see the web site for other information including assignments.