Основно съдържание
Math
Kansas Math
Statistics & Probability: Interpreting Categorical and Quantitative Data
Summarize, represent, and interpret data on a single count or measurement variable.
S.ID.1
Fully covered
S.ID.2
Mostly covered
S.ID.3
Fully covered
- Basic normal calculations
- Calculate percentiles
- Calculating percentile
- 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
Summarize, represent, and interpret data on two categorical and quantitative variables.
S.ID.4
Mostly covered
- 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
- Read two-way relative frequency tables
- Two-way frequency tables and Venn diagrams
- Two-way relative frequency tables
S.ID.5a
Fully covered
S.ID.5b
Fully covered
S.ID.5c
Mostly covered
S.ID.5d
Not covered
(Content unavailable)
Interpret linear models.
S.ID.6
Fully covered
S.ID.7
Fully covered
S.ID.8
Fully covered