Standards - Mathematics

Use the full Mathematical Modeling Cycle or Statistical Problem-Solving Cycle to answer a real-world problem of particular student interest, incorporating standards from across the course.

Use elements of the Mathematical Modeling Cycle to solve real-world problems involving finances.

Organize and display financial information using arithmetic sequences to represent simple interest and straight-line depreciation.

Organize and display financial information using geometric sequences to represent compound interest and proportional depreciation, including periodic (yearly, monthly, weekly) and continuous compounding.

Explain the relationship between annual percentage yield (APY) and annual percentage rate (APR) as values for $r$ in the formulas $A=P(1+r)^t$ and $A=Pe^{rt}$.

Explain the relationship between annual percentage yield (APY) and annual percentage rate (APR) as values for $r$ in the formulas $A=P(1+r)^t$ and $A=Pe^{rt}$.

Investigate growth and reduction of credit card debt using spreadsheets, including variables such as beginning balance, payment structures, credits, interest rates, new purchases, finance charges, and fees.

Compare and contrast housing finance options including renting, leasing to purchase, purchasing with a mortgage, and purchasing with cash.

Research and evaluate various mortgage products available to consumers.

Compare monthly mortgage payments for different terms, interest rates, and down payments.

Analyze the financial consequence of buying a home (mortgage payments vs. potentially increasing resale value) versus investing the money saved when renting, assuming that renting is the less expensive option.

Investigate the advantages and disadvantages of various means of paying for an automobile, including leasing, purchasing by cash, and purchasing by loan.

Use the Mathematical Modeling Cycle to solve real-world problems involving the design of three-dimensional objects.

Construct a two-dimensional visual representation of a three-dimensional object or structure.

Determine the level of precision and the appropriate tools for taking the measurements in constructing a two-dimensional visual representation of a three-dimensional object or structure.

Create an elevation drawing to represent a given solid structure, using technology where appropriate.

Determine which measurements cannot be taken directly and must be calculated based on other measurements when constructing a two-dimensional visual representation of a three-dimensional object or structure.

Determine an appropriate means to visually represent an object or structure, such as drawings on paper or graphics on computer screens.

Plot coordinates on a three-dimensional Cartesian coordinate system and use relationships between coordinates to solve design problems.

Describe the features of a three-dimensional Cartesian coordinate system and use them to graph points.

Graph a point in space as the vertex of a right prism drawn in the appropriate octant with edges along the x, y, and z axes.

Find the distance between two objects in space given the coordinates of each.

Find the midpoint between two objects in space given the coordinates of each.

Use technology and other tools to explore the results of simple transformations using three- dimensional coordinates, including translations in the x, y, and/or z directions; rotations of $90^{\circ}$, $180^{\circ}$, or $270^{\circ}$ about the x, y, and z axes; reflections over the xy, yz, and xy planes; and dilations from the origin.

Use technology and other tools to explore the results of simple transformations using three- dimensional coordinates, including translations in the x, y, and/or z directions; rotations of $90^{\circ}$, $180^{\circ}$, or $270^{\circ}$ about the x, y, and z axes; reflections over the xy, yz, and xy planes; and dilations from the origin.

Use elements of the Mathematical Modeling Cycle to make predictions based on measurements that change over time, including motion, growth, decay, and cycling.

Use regression with statistical graphing technology to determine an equation that best fits a set of bivariate data, including nonlinear patterns.

Create a scatter plot with a sufficient number of data points to predict a pattern.

Describe the overall relationship between two quantitative variables (increase, decrease, linearity, concavity, extrema, inflection) or pattern of change.

Make a prediction based upon patterns.

Create a linear representation of non-linear data and interpret solutions, using technology and the process of linearization with logarithms.

Use the Statistical Problem Solving Cycle to answer real-world questions.

Construct a probability distribution based on empirical observations of a variable.

Estimate the probability of each value for a random variable based on empirical observations or simulations, using technology.

Represent a probability distribution by a relative frequency histogram and/or a cumulative relative frequency graph.