WV High School Data Science Curriculum
Give your high schooler the support they need in Data Science. Our lessons and practice problems follow what West Virginia schools teach, covering statistics, modeling, and data analysis.
About High School West Virginia Data Science
West Virginia follows the WV College Career Ready Standards, organizing high school Data Science around quantities and modeling, functions and equations, statistical analysis, probability, and making inferences from data. This course covers interpreting data displays, fitting normal distributions, analyzing scatter plots, understanding correlation versus causation, and evaluating study designs. StudyPug provides step-by-step video lessons and practice problems aligned to every strand in this course.
- Strands: quantities and units, functions and equations, data analysis and statistics, and probability and inference
- Video lessons for every Data Science topic, from scatter plots to expected value
- Practice problems with instant feedback and step-by-step solutions
- Aligned to West Virginia WV CCR Standards for high school Data Science
Curriculum topics by strand
Browse lessons and practice problems for every strand, aligned to the WV College Career Ready Standards for high school Data Science.
WV High School Data Science Topics
- Quantities, Units, and Modeling: Choosing and interpreting units in formulas and graphs, defining quantities for descriptive modeling, and selecting appropriate levels of accuracy for reported measurements.
- Functions and Equations: Creating equations and inequalities in one or more variables, graphing on coordinate axes, using function notation, interpreting key features of graphs and tables, and distinguishing linear from exponential models.
- Data Analysis and Statistics: Representing data with dot plots, histograms, and box plots; comparing center and spread; fitting data to normal distributions; summarizing categorical data in two-way frequency tables; and analyzing scatter plots with linear models, slope interpretation, and correlation coefficients.
- Probability and Statistical Inference: Understanding independence, calculating expected value, designing and evaluating sample surveys and experiments, estimating population parameters with margin of error, and distinguishing correlation from causation.
How StudyPug Helps WV High School Data Science Students
When a student gets stuck on a concept like interpreting a correlation coefficient or setting up a margin of error, StudyPug provides step-by-step video lessons that walk through each idea at a pace that works for them. Practice problems with instant feedback let students check their understanding right away rather than waiting until the next class.
Every lesson is mapped to the WV College Career Ready Standards, so students are always working on material that matches what their West Virginia teacher has assigned - from two-way frequency tables to randomized experiment comparisons.
Aligned to WV High School Data Science Curriculum
StudyPug content for this course is built around the WV College Career Ready Standards for high school Data Science, covering all major strands including quantities and units, functions and equations, statistical analysis, and probability and inference - so students are practicing exactly what the West Virginia curriculum requires.
Written by the StudyPug Math Team
Last updated June 5, 2026
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