Texas
Math
Grade 12 Math Courses - Texas Curriculum
Discover Texas Grade 12 math courses, including Precalculus, Statistics, and Advanced Quantitative Reasoning. Prepare for college-level mathematics and real-world applications with our comprehensive curriculum.
Texas Grade 12 Math Curriculum - Precalculus & Advanced Math
ID | Strand & Expectation | StudyPug Topic |
|---|---|---|
TX.S.2.A | Variability: Distinguish between mathematical models and statistical models |
TX.S.2.B | Variability: Construct a statistical model to describe variability around the structure of a mathematical model for a given situation |
TX.S.2.C | Variability: Distinguish among different sources of variability, including measurement, natural, induced, and sampling variability |
TX.S.2.D | Variability: Describe and model variability using population and sampling distributions |
TX.S.3.B | Categorical and quantitative data: Represent and summarize data and justify the representation |
TX.S.3.C | Categorical and quantitative data: Analyze the distribution characteristics of quantitative data, including determining the possible existence and impact of outliers |
TX.S.3.E | Categorical and quantitative data: Compare and contrast meaningful information derived from summary statistics given a data set |
TX.S.3.F | Categorical and quantitative data: Analyze categorical data, including determining marginal and conditional distributions, using two-way tables |
TX.S.4.B | Probability and random variables: Describe the relationship between theoretical and empirical probabilities using the Law of Large Numbers |
TX.S.4.C | Probability and random variables: Construct a distribution based on a technology-generated simulation or collected samples for a discrete random variable |
TX.S.4.D | Probability and random variables: Compare statistical measures such as sample mean and standard deviation from a technology-simulated sampling distribution to the theoretical sampling distribution |
TX.S.5.A | Inference: Explain how a sample statistic and a confidence level are used in the construction of a confidence interval |
TX.S.5.B | Inference: Explain how changes in the sample size, confidence level, and standard deviation affect the margin of error of a confidence interval |
TX.S.5.C | Inference: Calculate a confidence interval for the mean of a normally distributed population with a known standard deviation |
TX.S.5.E | Inference: Interpret confidence intervals for a population parameter, including confidence intervals from media or statistical reports |
TX.S.5.F | Inference: Explain how a sample statistic provides evidence against a claim about a population parameter when using a hypothesis test |
TX.S.5.H | Inference: Explain the meaning of the p-value in relation to the significance level in providing evidence to reject or fail to reject the null hypothesis in the context of the situation |
TX.S.5.I | Inference: Interpret the results of a hypothesis test using technology-generated results such as large sample tests for proportion, mean, difference between two proportions, and difference between two independent means |
TX.S.5.J | Inference: Describe the potential impact of Type I and Type II Errors |
TX.S.6.A | Statistical studies: Identify the goal of a statistical study and the type of study needed |
TX.S.6.D | Statistical studies: Analyze how potential bias and random errors can affect reliability |
TX.S.6.E | Statistical studies: Determine variables to be used in a statistical study |
TX.S.6.F | Statistical studies: Create a display of data using graphical and numerical techniques to describe the distribution, association, or trends |
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