This course involves the theory and detailed demonstration of the first aid care of the injured. The course will also introduce key issues for leading a healthy lifestyle, including heart disease risk factor identification, health and safety considerations, legal issues, and injury prevention. The student will learn to assess an individual’s condition and demonstrate proper treatment. Upon successful completion of requirements, students would be eligible for first aid, CPR and AED for adult, child, and infant certification. Field trips may be required. Transfer credit: CSU; UC. Formerly: HED R105.

In this course, students receive instruction in academic reading and writing, including writing processes, effective use of language, analytical thinking, and the foundations of academic research. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of C or “P” or better. Field trips may be required. Prerequisites: Placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as ENGL R101.

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. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.

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. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.

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. This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, binomial and normal probability, hypothesis testing using a variety of standard tests. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P". Prerequisites: Course taught at the level of intermediate algebra or placement as determined by the college’s multiple measures assessment process. Transfer credit: CSU; UC. Notes: Prior to Common Course Numbering, this course was known as MATH R105.