Contenido principal
Math
- Extending the Number System
- Quadratic Functions and Modeling
- Analyze functions using different representations.
- Build a function that models a relationship between two quantities.
- Build new functions from existing functions.
- Construct and compare linear, quadratic, and exponential models and solve problems.
- Expressions and Equations
- Applications of Probability
- Similarity, Right Triangle Trigonometry, and Proof
- Circles With and Without Coordinates
- Number and Quantity – The Real Number System
- Number and Quantity – The Complex Number System
- Algebra – Seeing Structure in Expressions
- Algebra – Arithmetic with Polynomials and Rational Expressions
- Algebra – Creating Equations
- Algebra – Reasoning with Equations and Inequalities
- Functions – Interpreting Functions
- Functions – Building Functions
- Geometry – Geometric Measuring and Dimension
- Geometry – Expressing Geometric Properties with Equations
- Geometry – Modeling with Geometry
- Statistics and Probability – Interpreting Categorical and Quantitative Data
- Statistics and Probability – Making Inferences and Justifying Conclusions
West Virginia Math
High School Mathematics III TR (Technical Readiness): Inferences and Conclusions from Data
Summarize, represent, and interpret data on single count or measurement variable.
M.3HSTR.1
Fully covered
- Basic normal calculations
- Calculating percentile
- Calculating percentiles
- Calculating z-scores
- Comparing with z-scores
- Empirical rule
- Finding z-score for a percentile
- Normal calculations in reverse
- Normal distribution problems: Empirical rule
- Normal distribution: Area above or below a point
- Normal distribution: Area between two points
- Qualitative sense of normal distributions
- Standard normal table for proportion above
- Standard normal table for proportion below
- Standard normal table for proportion between values
- Threshold for low percentile
- Z-score introduction
Understand and evaluate random processes underlying statistical experiments.
M.3HSTR.2
Fully covered
M.3HSTR.3
Fully covered
Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
M.3HSTR.4
Fully covered
- Can causality be established from this study?
- Conclusions in observational studies versus experiments
- Experiment design considerations
- Experiment designs
- Finding errors in study conclusions
- Introduction to experiment design
- Invalid conclusions from studies example
- Matched pairs experiment design
- Principles of experiment design
- Random sampling vs. random assignment (scope of inference)
- Sampling method considerations
- Sampling methods
- Simple random samples
- Simulation and randomness: Random digit tables
- Systematic random sampling
- Techniques for generating a simple random sample
- Techniques for random sampling and avoiding bias
- The language of experiments
- Types of studies
- Types of studies
- Worked example identifying observational study
M.3HSTR.5
Fully covered
M.3HSTR.6
Partially covered
M.3HSTR.7
Fully covered