– Elem Probability & Statistics (CRN: 46759) at Cañada College for Spring 2024
Instructor:
David Monarres, monarresd@smccd.edu
Department: Mathematics
Textbook: Zero Textbook Cost (ZTC) Course
Number of Units: 4
Syllabus
Fall 2022 - Math 200 - Elementary Probability and Statistics Quick Class Information Class Hours & Location Room: 23-105 Monday & Wednesday - 12:10-2:00 pm Tuesday & Thursday - 12:10-1:00 pm Required Materials Textbook: Passion Driven Statistics by Lisa Dierker (Available Online) Scientific Calculator A laptop, tablet, or Chromebook with internet access. An iPad can work, but it has some difficulties that you will be responsible for managing. Instructor Instructor Information David Monarres monarresd@smccd.edu 415-763-5017 Office: 18-312 Office Hours Monday through Thursday from 2-3:00 pm (or by appointment) Class Website Canvas - All online communication will occur through our course canvas shell, which you can find at https://smccd.instructure.com. Help You can also post questions to the class discussion forum in Canvas. Extra credit will be awarded to students who answer another student's homework content questions. Cañada College PDS Discord Server Nationwide PDS Slack Channel Flipped Class This statistics class will be different from any other math course you've encountered. This course will offer a focused, hands-on experience in the research process and culminate in an end-of-semester presentation on this research project. Since this course is project-based in nature, it will be taught in a "flipped" manner. Part of class time will be devoted to working on your semester-long project. Before class: Rather than a traditional textbook, this course provides a series of "lessons" to prepare students conceptually and technically for the various steps taken in completing their research project. Lessons are presented as a video tutorial (less than 30 minutes). All lessons and notes should be completed before the corresponding class session. During class: This class will be conducted in lectures, discussions, and in-class activities; my goal is to guide you through the learning process. Therefore, it is essential that students remain up-to-date on all video lessons before each class period begins. Class time: We will briefly review the "lessons" for the day, followed by students working on an activity with the support of other students, the instructor, and the tutor. Students will also share their work with others, seek additional support and clarification, and provide and receive help. Goals and Learning Outcomes Description This course presents the basic concepts underlying statistical methods and covers descriptive statistics, probability, probability distributions, hypothesis testing, estimates and sample sizes, correlation and regression, chi-square tests, analysis of variance, and nonparametric statistics. Technology is integrated into the course. Applications of statistics to business, life sciences, social sciences, psychology, and other areas are included. Student Learning Outcomes By the end of the course, a student will be able to... Explain basic ideas and meanings of statistical terms such as average, standard deviation, correlation, hypothesis tests, etc... Present basic descriptive statistics: such as computing measures of central tendency and variation; and plotting basic graphs such as histograms and boxplots. Identify and apply the fundamental laws of probability such as complements, independence, and the role of probability in statistics. Given an inferential statistics problem, identify the appropriate hypothesis test, perform the hypothesis te
