Course Information

Math 217: Integrated Statistics

Course Description

A stretched version of statistics over two quarters. MATH 217 + MATH 17

MATH 217 is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. This course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Co-requisite Description: None
Units: 5
Course Outcomes Student will Examine statistical studies and discuss an overview of the data analysis process. Analyze data graphically and numerically. Examine, use, and interpret bivariate data. Model nonlinear relationships Compute basic probabilities. Use appropriate technology as a tool for doing statistics. Discuss mathematical problems and write solutions in accurate mathematical language and notation. Interpret mathematical solutions. In addition to the skills listed above, a major goal of this course is to reach not only an understanding of statistical ideas, but also an appreciation of those ideas. The necessary components for success in this course are effort and attitude. Mathematics requires repeated practice and a willingness not to get discouraged - you may even have some fun along the way.
Grade Type: Letter Grade
Hours: 5 hours per week
Intended Majors/Careers: Meets major requirements in many physical, life, and social science fields
Transferable to: Course credit applies toward the associate degree, satisfies UC IGETC area 2 and CSU-Breadth area 4 general ed math requirements, and is eligible for transfer to UC, CSU, and many private universities
Advisory: Check with your advisor if you are considering an ATD
Prerequisite Skills: None
Sample Syllabus: Math 217 Integrated Statistics varies by instructor
Sample homework assignments and quizzes: Varies by instructor
Hours of homework/night: Approximately 1-2 hours per night
Catalog of Math Courses

Top