This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. Successful completion of this course fulfills the mathematics competency requirement for the AA/AS degree. Notes: Prior to Common Course Numbering, this course was known as MATH V44. Prerequisites: Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra. Transfer credit: CSU; UC. Formerly: MATH V44; Math 44.

This course in algebra is designed for students with majors in the liberal arts. Topics include the study of polynomial, rational, radical, exponential, logarithmic and absolute value functions, systems of equations, the theory of polynomial equations, analytic geometry and applications. Prerequisites: MATH V03 or placement as determined by the college's multiple measures assessment process. Transfer credit: CSU.

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. Successful completion of this course fulfills the mathematics competency requirement for the AA/AS degree. Notes: Prior to Common Course Numbering, this course was known as MATH V44. Prerequisites: Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra. Transfer credit: CSU; UC. Formerly: MATH V44; Math 44.

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. Successful completion of this course fulfills the mathematics competency requirement for the AA/AS degree. Notes: Prior to Common Course Numbering, this course was known as MATH V44. Prerequisites: Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra. Transfer credit: CSU; UC. Formerly: MATH V44; Math 44.