Math
- Number Sense
- Ratios and Proportional Reasoning – Students continue to use ratio and rate language, compute using unit rates, and use proportional relationships to solve real-world problems involving ratios and percents.
- Algebra and Functions
- Geometry and Measurement
- Data Analysis, Statistics, and Probability
Indiana Math
Algebra I: Data Analysis & Statistics
AI.DS.1
Partially 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
AI.DS.2
Not covered
(Content unavailable)
AI.DS.3
Fully covered
AI.DS.4
Fully covered
- Analyze two-way frequency tables
- Conditional distributions
- Conditional distributions and relationships
- Create two-way frequency tables
- Identify marginal and conditional distributions
- Interpret two-way tables
- Interpreting two-way tables
- Marginal and conditional distributions
- Marginal distributions
- Read two-way frequency tables
- Two-way frequency tables and Venn diagrams
- Two-way relative frequency tables