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ID | Strand & Expectation | StudyPug Topic |
|---|---|---|
TX.AQR.2.A | Use precision and accuracy in real-life situations related to measurement and significant figures |
TX.AQR.2.B | Apply and analyze published ratings, weighted averages, and indices to make informed decisions |
TX.AQR.2.C | Solve problems involving quantities that are not easily measured using proportionality |
TX.AQR.2.D | Solve geometric problems involving indirect measurement, including similar triangles, the Pythagorean Theorem, Law of Sines, Law of Cosines, and the use of dynamic geometry software |
TX.AQR.2.E | Solve problems involving large quantities using combinatorics |
TX.AQR.2.F | Use arrays to efficiently manage large collections of data and add, subtract, and multiply matrices to solve applied problems, including geometric transformations |
TX.AQR.2.G | Analyze various voting and selection processes to compare results in given situations |
TX.AQR.2.H | Select and apply an algorithm of interest to solve real-life problems such as problems using recursion or iteration involving population growth or decline, fractals, and compound interest; the validity in recorded and transmitted data using checksums and hashing; sports rankings, weighted class rankings, and search engine rankings; and problems involving scheduling or routing situations using vertex-edge graphs, critical paths, Euler paths, and minimal spanning trees and communicate to peers the application of the algorithm in precise mathematical and nontechnical language |
TX.AQR.3.A | Create and use mathematical models to represent and analyze personal financial situations, and to solve problems involving planning, managing, and paying federal and state taxes |
TX.AQR.3.C | Use arrays to efficiently manage large collections of data and add, subtract, and multiply matrices to solve applied problems |
TX.AQR.3.D | Solve geometric problems involving indirect measurement |
TX.AQR.3.E | Represent and analyze mathematical models for various voting and selection processes to compare results in given situations |
TX.AQR.3.F | Use regression methods available through technology to model linear and exponential functions, interpret correlations, and make predictions |
TX.AQR.3.G | Generate and use linear, exponential, logistic, and trigonometric functions to model and solve problems involving periodic data |
TX.AQR.3.H | Create, represent, and analyze mathematical models for various types of income calculations to determine the best option for a given situation |
TX.AQR.3.I | Create, represent, and analyze mathematical models for expenditures, including those involving credit, to determine the best option for a given situation |
TX.AQR.3.J | Create, represent, and analyze mathematical models and appropriate representations, including formulas and amortization tables, for various types of loans and investments to determine the best option for a given situation |
TX.AQR.4.A | Use a two-way frequency table as a sample space to identify whether two events are independent and to interpret the results |
TX.AQR.4.B | Use the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), in mathematical and real-world problems |
TX.AQR.4.C | Calculate conditional probabilities and probabilities of compound events using tree diagrams, Venn diagrams, area models, and formulas |
TX.AQR.4.E | Use probabilities to make and justify decisions about risks in everyday life |
TX.AQR.4.F | Calculate expected value to analyze mathematical fairness, payoff, and risk |
TX.AQR.4.G | Determine the validity of logical arguments that include compound conditional statements by constructing truth tables |
TX.AQR.4.H | Identify limitations and lack of relevant information in studies reporting statistical information, especially when studies are reported in condensed form |
TX.AQR.4.I | Interpret and compare statistical results using appropriate technology given a margin of error |
TX.AQR.4.K | Describe strengths and weaknesses of sampling techniques, data and graphical displays, and interpretations of summary statistics and other results appearing in a study, including reports published in the media |
TX.AQR.4.L | Determine the need for and purpose of a statistical investigation and what type of statistical analysis can be used to answer a specific question or set of questions |
TX.AQR.4.N | Identify the variables to be used in a study |
TX.AQR.4.P | Create data displays for given data sets to investigate, compare, and estimate center, shape, spread, and unusual features of the data |
TX.AQR.4.Q | Analyze possible sources of data variability, including those that can be controlled and those that cannot be controlled |
TX.AQR.4.S | Justify the design and the conclusion(s) of statistical studies, including the methods used |
Advanced Quantitative Reasoning Lessons
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Everything you need to know about mastering Advanced Quantitative Reasoning with StudyPug
What does Advanced Quantitative Reasoning coverage include?
Complete AQR curriculum with video lessons on statistics, probability, mathematical modeling, financial math, and real-world problem solving. Includes practice problems, step-by-step solutions, and progress tracking for every topic.
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