Course: H.S. Quantitative Reasoning



The student uses a variety of network models represented graphically to organize data in quantitative situations, make informed decisions, and solve problems, such as in scheduling or routing situations that can be modeled using different methods, e.g., vertex-edge graphs using critical paths, Euler paths, or minimal spanning trees.

I Can Statements Academic Vocabulary

*I can use networks to organize data in quantitative situations.

*I can use networks to make informed decisions and solve problems such as scheduling or routing situations.

*I can read and create a vertex-edge graph using critical paths.

*I can read and create a vertex-edge graph using an Euler path.

*I can read and create a vertex-edge graph using the minimal spanning trees method.

Vertex-edge graph
Critical path
Euler path
Minimal spanning trees

Looking Back Looking Ahead

*Represent sample spaces of compound events (independent and dependent) using methods, such as organized lists, tables, and tree diagrams. (MA.8.DSP.5)

*State, use, and examine the validity of the converse, inverse, and contrapositive of conditional and biconditional statements. (MA.G.LP.3)

*Determine the nature and number of elements in a finite sample space to model the outcomes of real-world events. (MA.AA.DSP.7)

*This course is a 4th year course in the Indiana sequence. The concepts and skills within the course extend to multiple post-secondary pathways and applications.

Clarifying Examples and Digital Resources
Click here for clarifying examples and digital resources aligned to Indiana standards. These are intended to expand each standard to support instruction in the classroom as evidenced by the Eight Mathematics Teaching Practices put forth by the National Council of Teachers of Mathematics (NCTM).