Course Information

Math 10: Statistics

Course Description

An introduction to modern methods of descriptive statistics, including collection and presentation of data; measures of central tendency and dispersion; probability; sampling distributions; hypothesis testing and statistical inference; linear regression and correlation; analysis of variance; use of microcomputers for statistical calculations. Illustrations taken from the fields of business, economics, medicine, engineering, education, psychology, sociology, social sciences, life science, and health science.

Co-requisite Description: None
Units: 5
Course Outcomes Students will formulate conclusions about a population based on analysis of sample data. develop conceptual understanding of descriptive and inferential statistics. They will demonstrate and communicate this understanding in a variety of ways, such as: reasoning with definitions and theorems, connecting concepts, and connecting multiple representations, as appropriate. demonstrate the ability to compute descriptive statistics, calculate confidence intervals, and carry out tests of hypotheses.
Grade Type: Letter Grade, the student may select Pass/No Pass
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: Demonstrated proficiency in English by placement as determined by score on the English placement test OR through an equivalent placement process OR completion of ESLL 125 & ESLL 249
Prerequisite Skills: Appropriate placement
Sample Syllabus: Math 10 Statistics varies by instructor
Sample homework assignments and quizzes: Varies by instructor
Hours of homework/night: approximately 10 hours per week
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