What makes Advanced Quantitative Reasoning different from other math courses?

AQR focuses on real-world applications rather than abstract theory, emphasizing practical skills like financial planning, data analysis, and problem-solving using technology and mathematical modeling techniques.

How is student progress assessed in Advanced Quantitative Reasoning?

Assessment typically includes project-based assignments, real-world problem-solving tasks, portfolio development, and performance on authentic mathematical modeling scenarios rather than traditional tests.

What career pathways benefit from Advanced Quantitative Reasoning skills?

AQR prepares students for careers in business, social sciences, healthcare, education, public policy, and any field requiring data analysis, financial literacy, and quantitative decision-making skills.

What technology tools are used in Advanced Quantitative Reasoning?

Students use graphing calculators, spreadsheet software, statistical analysis programs, dynamic geometry software, and online tools for data visualization and mathematical modeling.

How does AQR prepare students for college mathematics requirements?

The course develops quantitative literacy skills essential for college success, emphasizing critical thinking, data interpretation, and mathematical communication needed across various academic disciplines.

Courses

More

Advanced Quantitative Reasoning Course - Texas Curriculum

Master real-world mathematical applications through Advanced Quantitative Reasoning. Explore financial modeling, statistical analysis, and algorithmic problem-solving aligned with Texas standards.

Texas Advanced Quantitative Reasoning Course CurriculumHelp

ID

Standard

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

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