Student Learning Outcomes are statements that we create to identify what students can do with what they learn in a class. These are the things that you can take with you when you leave the class. You’re building life skills!
As your professor, my goals for the outcome of this class include:
to learn what statistics are and how they show us what is, not what we might imagine or assume.
to learn how to use statistics to not be fooled into believing something that isn't true.
to be better able to read through what stats actually mean - and when they are being used appropriately.
to be better prepared to move forth in your educational career and apply what you've learned to learn even more.
To have some fun, yes, fun, in solving the puzzles that are people and society, using this tool we call statistics.
Think about it and let me know when we chat!
My teaching philosophy starts with the idea that students are people, who come with their own backgrounds, opinions, and experiences. I also bring my own self but I also bring a lot of training in sociological perspectives and strategies to navigate society and I'm here to share that knowledge with you. From the moment I discovered sociology and statistics, I saw a way to understand and navigate through difficult situations and work towards creating a society with opportunity and social justice. Our society works in a certain way and has barriers for many to be able to live up to our society's ideal of "freedom and justice for all". In my classes, we peel back the layers of society to see how our problems come to be and what we can do about it. Personal problems are societal issues. For true and deep learning to occur, I strive to provide a comfortable, safe, challenging, and supportive learning environment for all people in my classes.
When you encounter issues with the class or things that get in the way of your education, please know that there are many resources available to you. Those resources include me, our embedded tutor, and many campus programs. My job, and our tutor's, is to support you in your learning process, so please put us to work!
The campus' programs are listed on the Resource page here in this site, in the Services for Students handout linked on the Syllabus page in Canvas, and in the Welcome "Start Here" Module (and on the campus website). Those resources include things you may not expect like scholarships and grants (free money to support your education and build your resume!), Black Scholars, the Dreamers Center, Veteran's services, LGBTQX Pride Center, and our Family Resource Center (helpful for students who are also parents).
Prerequisite: Stat 100 or Math 125 with a grade C or better or equivalent. Lecture, 4 hours.
This course focuses on data collection, hypothesis testing and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.
MATH 225, 227, STAT 1, 101 COMBINED, MAXIMUM UC CREDIT, ONE COURSE.
C-ID: SOCI 125, MATH 110
Header Photo by Markus Winkler on Unsplash