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Texas TEKS Mathematical Models With Applications
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(Random) (2.A) Mathematical modeling in Personal Finance. Use rates and linear functions to solve problems involving personal finance and budgeting, including compensations and deductions;

(Random) (2.B) Mathematical modeling in Personal Finance. Solve problems involving personal taxes; (Random) (2.C) Mathematical modeling in Personal Finance. Analyze data to make decisions about banking, including options for online banking, checking accounts, overdraft protection, processing fees, and debit card/ATM fees. (Random) (3.A) Mathematical modeling in Personal Finance. Use formulas to generate tables to display series of payments for loan amortizations resulting from financed purchases; (Random) (3.B) Mathematical modeling in Personal Finance. Analyze personal credit options in retail purchasing and compare relative advantages and disadvantages of each option; (Random) (3.C) Mathematical modeling in Personal Finance. Use technology to create amortization models to investigate home financing and compare buying a home to renting a home; (Random) (3.D) Mathematical modeling in Personal Finance. Use technology to create amortization models to investigate automobile financing and compare buying a vehicle to leasing a vehicle. (Random) (4.A) Mathematical modeling in Personal Finance. Analyze and compare coverage options and rates in insurance; (Random) (4.B) Mathematical modeling in Personal Finance. Investigate and compare investment options, including stocks, bonds, annuities, certificates of deposit, and retirement plans; (Random) (4.C) Mathematical modeling in Personal Finance. Analyze types of savings options involving simple and compound interest and compare relative advantages of these options. (Random) (5.A) Mathematical modeling in Science and Engineering. Use proportionality and inverse variation to describe physical laws such as Hook's Law, Newton's Second Law of Motion, and Boyle's Law; (Random) (5.B) Mathematical modeling in Science and Engineering. Use exponential models available through technology to model growth and decay in areas, including radioactive decay; (Random) (5.C) Mathematical modeling in Science and Engineering. Use quadratic functions to model motion. (Random) (6.A) Mathematical modeling in Science and Engineering. Use similarity, geometric transformations, symmetry, and perspective drawings to describe mathematical patterns and structure in architecture;
(Random) (6.B) Mathematical modeling in Science and Engineering. Use scale factors with two-dimensional and three-dimensional objects to demonstrate proportional and non-proportional changes in surface area and volume as applied to fields; (Random) (6.C) Mathematical modeling in Science and Engineering. Use the Pythagorean Theorem and special right-triangle relationships to calculate distances; (Random) (6.D) Mathematical modeling in Science and Engineering. Use trigonometric ratios to calculate distances and angle measures as applied to fields. (Random) (7.A) Mathematical modeling in Fine Arts. Use trigonometric ratios and functions available through technology to model periodic behavior in art and music; (Random) (7.B) Mathematical modeling in Fine Arts. Use similarity, geometric transformations, symmetry, and perspective drawings to describe mathematical patterns and structure in art and photography; (Random) (7.C) Mathematical modeling in Fine Arts. Use geometric transformations, proportions, and periodic motion to describe mathematical patterns and structure in music; (Random) (7.D) Mathematical modeling in Fine Arts. Use scale factors with two-dimensional and three-dimensional objects to demonstrate proportional and non-proportional changes in surface area and volume as applied to fields. (Random) (8.A) Mathematical modeling in Social Sciences. Determine the number of ways an event may occur using combinations, permutations, and the Fundamental Counting Principle; (Random) (8.B) Mathematical modeling in Social Sciences. Compare theoretical to empirical probability; (Random) (8.C) Mathematical modeling in Social Sciences. Use experiments to determine the reasonableness of a theoretical model such as binomial or geometric. (Random) (9.A) Mathematical modeling in Social Sciences. Interpret information from various graphs, including line graphs, bar graphs, circle graphs, histograms, scatterplots, dot plots, stem-and-leaf plots, and box and whisker plots, to draw conclusions from the data and determine the strengths and weaknesses of conclusions; (Random) (9.B) Mathematical modeling in Social Sciences. Analyze numerical data using measures of central tendency (mean, median, and mode) and variability (range, interquartile range or IQR, and standard deviation) in order to make inferences with normal distributions; (Random) (9.C) Mathematical modeling in Social Sciences. Distinguish the purposes and differences among types of research, including surveys, experiments, and observational studies; (Random) (9.D) Mathematical modeling in Social Sciences. Use data from a sample to estimate population mean or population proportion; (Random) (9.E) Mathematical modeling in Social Sciences. Analyze marketing claims based on graphs and statistics from electronic and print media and justify the validity of stated or implied conclusions; (Random) (9.F) Mathematical modeling in Social Sciences. Use regression methods available through technology to model linear and exponential functions, interpret correlations, and make predictions. (Random) (10.A) Mathematical modeling in Social Sciences. Formulate a meaningful question, determine the data needed to answer the question, gather the appropriate data, analyze the data, and draw reasonable conclusions; (Random) (10.B) Mathematical modeling in Social Sciences. Communicate methods used, analyses conducted, and conclusions drawn for a data-analysis project through the use of one or more of the following: a written report, a visual display, an oral report, or a multi-media presentation.

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