Develops conceptual understanding, problem-solving, decision-making and analytic skills dealing with quantities and their magnitudes and interrelationships using technology as a tool. Selecting and using appropriate approaches and tools in formulating and solving real-world problems and estimating/approximating and judging the reasonableness of answers should be integrated throughout the course.
The course must include all of the following topics:
· Representing and analyzing data through statistical measures such as central tendency, dispersion, normal distributions, chi-square distributions, and/or correlation and regression to test hypotheses (maximum of one-third of course);
· Using logical statements and arguments in a real-world context;
· Applying techniques such as graphing functions, systems of equations, and systems of inequalities in the interpretation and solutions of problems.
Prerequisite: A student in this course should be college-ready in mathematics as assessed by local institutions (for example: Intermediate Algebra with a C or better, placement, co-requisite course, multiple measures, transitional mathematics competencies, PMGE, or professional organization recommendations, etc.).
Full Revision – Fall 2019 – 10/18/2019, Effective Spring 2020.
Prior Revisions: Prerequisite Revised – Fall 2017/10-27-2017 – Effective Spring 2018, Tweaked Fall 2016 - Effective Spring 2017