

Formerly: MATH C160. 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. Graded or Pass/No Pass option.
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Credits: 4.0
BHMT participants are responsible for making sure selected course(s) will transfer to the accepting institution.
Placement as determined by the college’s multiple measures assessment process, completion of a course taught at or above the level of intermediate algebra, or by selecting placement into the course via the Guided Self-Placement Tool.