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.

Covers limits, continuity, differentiation and integration of algebraic functions. Teaches differentiation and integration of transcendental functions with applications. Prerequisites: Course taught at the level of precalculus or placement as determined by college's multiple assessment process. Transfer credit: CSU; UC. Notes:

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. Course Credit Limitations: MC, CSU, and UC - 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". Moorpark College Honors Program requires a letter grade. Credit Limitation: MC and CSU: STAT C1000, STAT C1000H, MATH M15, MATH M15H, PSY M125 and SOC M125 combined: maximum credit, 1 course; UC: STAT C1000, STAT C1000H, MATH M15, MATH M15H, MATH M37DS, PSY M125 and SOC M125 combined: maximum credit, 1 course. 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. Notes: Prior to Common Course Numbering, this course was known as MATH M15.Transfer credit: CSU; UC. Formerly: MATH M15.

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. Course Credit Limitations: MC, CSU, and UC - 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". Moorpark College Honors Program requires a letter grade. Credit Limitation: MC and CSU: STAT C1000, STAT C1000H, MATH M15, MATH M15H, PSY M125 and SOC M125 combined: maximum credit, 1 course; UC: STAT C1000, STAT C1000H, MATH M15, MATH M15H, MATH M37DS, PSY M125 and SOC M125 combined: maximum credit, 1 course. 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. Notes: Prior to Common Course Numbering, this course was known as MATH M15.Transfer credit: CSU; UC. Formerly: MATH M15.

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. Course Credit Limitations: MC, CSU, and UC - 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". Moorpark College Honors Program requires a letter grade. Credit Limitation: MC and CSU: STAT C1000, STAT C1000H, MATH M15, MATH M15H, PSY M125 and SOC M125 combined: maximum credit, 1 course; UC: STAT C1000, STAT C1000H, MATH M15, MATH M15H, MATH M37DS, PSY M125 and SOC M125 combined: maximum credit, 1 course. 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. Notes: Prior to Common Course Numbering, this course was known as MATH M15.Transfer credit: CSU; UC. Formerly: MATH M15.