

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

1. Use the full Mathematical Modeling Cycle or Statistical ProblemSolving Cycle to answer a realworld problem of particular student interest, incorporating standards from across the course.
Examples: Use a mathematical model to design a threedimensional structure and determine whether particular design constraints are met; to decide under what conditions the purchase of an electric vehicle will save money; to predict the extent to which the level of the ocean will rise due to the melting polar ice caps; or to interpret the claims of a statistical study regarding the economy. Unpacked Content



Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

2. Use elements of the Mathematical Modeling Cycle to solve realworld problems involving finances.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

3. Organize and display financial information using arithmetic sequences to represent simple interest and straightline depreciation.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
1 
Classroom Resources: 
1 

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

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

5. Compare simple and compound interest, and straightline and proportional depreciation.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

6. 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.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

7. Compare and contrast housing finance options including renting, leasing to purchase, purchasing with a mortgage, and purchasing with cash.
a. Research and evaluate various mortgage products available to consumers.
b. Compare monthly mortgage payments for different terms, interest rates, and down payments.
c. 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.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

8. Investigate the advantages and disadvantages of various means of paying for an automobile, including leasing, purchasing by cash, and purchasing by loan.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
1 
Classroom Resources: 
1 

9. Use the Mathematical Modeling Cycle to solve realworld problems involving the design of threedimensional objects.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

10. Construct a twodimensional visual representation of a threedimensional object or structure.
a. Determine the level of precision and the appropriate tools for taking the measurements in constructing a twodimensional visual representation of a threedimensional object or structure.
b. Create an elevation drawing to represent a given solid structure, using technology where appropriate.
c. Determine which measurements cannot be taken directly and must be calculated based on other measurements when constructing a twodimensional visual representation of a threedimensional object or structure.
d. Determine an appropriate means to visually represent an object or structure, such as drawings on paper or graphics on computer screens. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
1 
Classroom Resources: 
1 

11. Plot coordinates on a threedimensional Cartesian coordinate system and use relationships between coordinates to solve design problems.
a. Describe the features of a threedimensional Cartesian coordinate system and use them to graph points.
b. 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.
c. Find the distance between two objects in space given the coordinates of each.
Examples: Determine whether two aircraft are flying far enough apart to be safe; find how long a zipline cable would need to be to connect two platforms at different heights on two trees.
d. Find the midpoint between two objects in space given the coordinates of each.
Example: If two asteroids in space are traveling toward each other at the same speed, find where they will collide. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

12. Use technology and other tools to explore the results of simple transformations using threedimensional coordinates, including translations in the x, y, and/or z directions; rotations of 90°, 180°, or 270° about the x, y, and z axes; reflections over the xy, yz, and xy planes; and dilations from the origin.
Example: Given the coordinates of the corners of a room in a house, find the coordinates of the same room facing a different direction. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

13. Create a scale model of a complex threedimensional structure based on observed measurements and indirect measurements, using translations, reflections, rotations, and dilations of its components.
Example: Develop a plan for a bridge structure using geometric properties of its parts to determine unknown measures and represent the plan in three dimensions. Unpacked Content



Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

14. Use elements of the Mathematical Modeling Cycle to make predictions based on measurements that change over time, including motion, growth, decay, and cycling.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
5 
Classroom Resources: 
5 

15. Use regression with statistical graphing technology to determine an equation that best fits a set of bivariate data, including nonlinear patterns.
Examples: global temperatures, stock market values, hours of daylight, animal population, carbon dating measurements, online streaming viewership
a. Create a scatter plot with a sufficient number of data points to predict a pattern.
b. Describe the overall relationship between two quantitative variables (increase, decrease, linearity, concavity, extrema, inflection) or pattern of change.
c. Make a prediction based upon patterns. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
3 
Classroom Resources: 
3 

16. Create a linear representation of nonlinear data and interpret solutions, using technology and the process of linearization with logarithms.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

17. Use the Statistical Problem Solving Cycle to answer realworld questions.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

18. Construct a probability distribution based on empirical observations of a variable.
Example: Record the number of student absences in class each day and find the probability that each number of students will be absent on any future day.
a. Estimate the probability of each value for a random variable based on empirical observations or simulations, using technology.
b. Represent a probability distribution by a relative frequency histogram and/or a cumulative relative frequency graph.
c. Find the mean, standard deviation, median, and interquartile range of a probability distribution and make longterm predictions about future possibilities. Determine which measures are most appropriate based upon the shape of the distribution. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

19. Construct a sampling distribution for a random event or random sample.
Examples: How many times do we expect a fair coin to come up "heads" in 100 flips, and on average how far away from this expected value do we expect to be on a specific set of flips? What do we expect to be the average height for a random sample of students in a local high school given the mean and standard deviation of the heights of all students in the high school?
a. Use the binomial theorem to construct the sampling distribution for the number of successes in a binary event or the number of positive responses to a yes/no question in a random sample.
b. Use the normal approximation of a proportion from a random event or sample when conditions are met.
c. Use the central limit theorem to construct a normal sampling distribution for the sample mean when conditions are met.
d. Find the longterm probability of a given range of outcomes from a random event or random sample. Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

20. Perform inference procedures based on the results of samples and experiments.
a. Use a point estimator and margin of error to construct a confidence interval for a proportion or mean.
b. Interpret a confidence interval in context and use it to make strategic decisions.
Example: shortterm and longterm budget projections for a business
c. Perform a significance test for null and alternative hypotheses.
d. Interpret the significance level of a test in the context of error probabilities, and use the results to make strategic decisions.
Example: How do you reduce the rate of human error on the floor of a manufacturing plant? Unpacked Content

Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

21. Critique the validity of reported conclusions from statistical studies in terms of bias and random error probabilities.
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Mathematics (2019) 
Grade(s): 9  12 
Mathematical Modeling 
All Resources: 
0 

22. Conduct a randomized study on a topic of student interest (sample or experiment) and draw conclusions based upon the results.
Example: Record the heights of thirty randomly selected students at your high school. Construct a confidence interval to estimate the true average height of students at your high school. Question whether or not this data provides significant evidence that your school's average height is higher than the known national average, and discuss error probabilities. Unpacked Content
