MN High School Statistics Curriculum
Give your student the support they need to succeed in high school Statistics. Every lesson and practice problem is built around what Minnesota schools actually teach, from data analysis to probability and inference.
About High School Minnesota Statistics
Minnesota high school Statistics follows the Minnesota Academic Standards, covering data analysis, statistical inference, probability, and random variables. Students work through interpreting data distributions, fitting normal curves, analyzing scatter plots and correlation, designing studies, applying probability rules including conditional probability and independence, and calculating expected values. StudyPug provides video lessons and practice problems aligned to each strand of this course so students can get unstuck any time.
- Strands: Interpreting Categorical and Quantitative Data, Making Inferences and Justifying Conclusions, Conditional Probability and the Rules of Probability, Using Probability to Make Decisions
- Video lessons covering every topic in the Minnesota Academic Standards for high school Statistics
- Practice problems and step-by-step explanations for data distributions, probability models, inference, and more
- Content aligned to the Minnesota Academic Standards so every lesson matches what your student sees in class
Curriculum topics by strand
Find lessons and practice problems for every strand, aligned to the Minnesota Academic Standards for high school Statistics.
MN High School Statistics Topics
- Interpreting Categorical and Quantitative Data: Representing data with dot plots, histograms, and box plots; comparing center and spread using median, mean, interquartile range, and standard deviation; fitting data to a normal distribution; summarizing two-way frequency tables; analyzing scatter plots and correlation; distinguishing correlation from causation.
- Making Inferences and Justifying Conclusions: Understanding statistical inference from random samples; comparing sample surveys, experiments, and observational studies; estimating population means and proportions with margin of error; using simulations to evaluate treatment differences; evaluating data reports critically.
- Conditional Probability and the Rules of Probability: Understanding independence and conditional probability; constructing and interpreting two-way frequency tables as sample spaces; applying the Addition Rule and the general Multiplication Rule; using permutations and combinations for compound event probabilities.
- Using Probability to Make Decisions: Defining random variables and graphing probability distributions; calculating expected value; developing theoretical and empirical probability distributions; weighing outcomes by probability to support decisions and analyze strategies.
How StudyPug Helps Minnesota High School Statistics Students
When a student gets stuck on a concept like the normal distribution, conditional probability, or margin of error, StudyPug lets them go back to the exact lesson they need without waiting for class. Short video lessons walk through each idea step by step, and practice problems let students check their understanding right away.
Because every lesson is available at any time, students can work at their own pace - slowing down on inference and probability while moving quickly through topics they already know. This flexibility makes it easier to keep up when the course moves fast.
Aligned to Minnesota High School Statistics Curriculum
Every lesson and practice problem on StudyPug is built around the Minnesota Academic Standards for high school Statistics. From data displays and descriptive statistics through probability rules and simulation-based inference, the content matches the strands and expectations that Minnesota teachers use in the classroom, so students are always working on what matters for their course.
Written by the StudyPug Math Team
Last updated June 5, 2026
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