MD High School Statistics Curriculum
Give your student the support they need to succeed in Maryland high school Statistics. Our lessons and practice problems follow Maryland College Career Ready Standards so every topic matches what is taught in class.
About High School Maryland math
Maryland high school Statistics follows the Maryland College Career Ready Standards, organized around interpreting data, drawing statistical inferences, and applying probability. Students work through data representation and distribution analysis, two-variable data and correlation, statistical inference and simulation, conditional probability and independence, and probability distributions with expected value. StudyPug provides video lessons and practice problems aligned to every strand in this course.
- Strands: data representation, statistical inference, probability rules, and probability distributions
- Video lessons covering every Statistics concept in the Maryland College Career Ready Standards
- Practice problems and worked examples for data analysis, inference, and probability
- Coverage aligned to Maryland high school Statistics so every lesson matches class
Curriculum topics by strand
Lessons and practice organized by strand, aligned to the Maryland College Career Ready Standards for high school Statistics.
MD High School Statistics Topics
- Data representation and distribution: Dot plots, histograms, box plots, center (mean and median), spread (interquartile range and standard deviation), outliers, and fitting data to a normal distribution.
- Two-variable data and correlation: Scatter plots, correlation coefficients, linear fit, and the distinction between correlation and causation. Includes two-way frequency tables and relative frequencies for categorical data.
- Statistical inference and simulation: Random sampling, margin of error, sample surveys versus experiments versus observational studies, simulation models, and evaluating reports based on data.
- Conditional probability and independence: The Addition Rule, the general Multiplication Rule, conditional probability, independence, two-way tables as sample spaces, and permutations and combinations for compound events.
- Probability distributions and expected value: Defining random variables, graphing probability distributions, calculating expected value, and using probability to analyze decisions and strategies.
How StudyPug Helps MD High School Statistics Students
When a Maryland student gets stuck on a Statistics problem - whether interpreting a normal curve, setting up a two-way frequency table, or applying the Multiplication Rule - StudyPug provides a clear video lesson and matching practice problems so they can work through the concept at their own pace. Every lesson is built around the Maryland College Career Ready Standards, meaning the examples and language your student sees here reflect what is covered in their Maryland classroom.
Students can move between strands freely, revisiting data distribution one night and probability models the next, building confidence across the full course rather than cramming before a test.
Aligned to MD High School Statistics Curriculum
All Statistics content on StudyPug is mapped to the Maryland College Career Ready Standards, covering the same strands - data representation, statistical inference, conditional probability, and probability distributions - in the same sequence that Maryland high school courses follow, so every lesson your student watches connects directly to what their teacher is assigning.
Written by the StudyPug Math Team
Last updated June 5, 2026
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