NH High School Statistics Curriculum
Give your child the support they need to succeed in high school Statistics. StudyPug covers every topic New Hampshire schools teach, from data distributions to probability and inference.
About High School New Hampshire Statistics
New Hampshire follows the NH Model Competencies, which organize Statistics into strands covering data analysis, probability, and statistical inference. This course works through representing and comparing data distributions, exploring correlation and scatter plots, building probability models including conditional probability and random variables, and using simulation and sampling to make inferences about populations. StudyPug provides video lessons and practice problems aligned to every strand in this curriculum.
- Strands: data analysis and distributions, probability and conditional probability, random variables and expected value, and statistical inference and simulation
- Video lessons covering every NH Statistics topic with step-by-step worked examples
- Practice problems and guided practice for each strand to build confidence before tests
- Content aligned to the NH Model Competencies for high school Statistics
Curriculum topics by strand
Lessons and practice for every strand, aligned to the NH Model Competencies for high school Statistics.
NH High School Statistics Topics
- Data representations and distributions: Dot plots, histograms, and box plots on the real number line; comparing center and spread using mean, median, interquartile range, and standard deviation; interpreting shape and outliers.
- Normal distribution and two-way tables: Fitting data to a normal distribution using mean and standard deviation; estimating areas under the normal curve; summarizing categorical data in two-way frequency tables with joint, marginal, and conditional relative frequencies.
- Scatter plots, correlation, and causation: Representing two quantitative variables on a scatter plot; computing and interpreting the correlation coefficient; distinguishing between correlation and causation.
- Statistical inference and simulation: Understanding statistics as a process for making inferences about population parameters; sample surveys, experiments, and observational studies; margin of error through simulation; evaluating data-based reports.
- Probability and conditional probability: Independent events; conditional probability using P(A and B)/P(B); two-way frequency tables as sample spaces; the Addition Rule and general Multiplication Rule; permutations and combinations for compound events.
- Random variables and expected value: Defining random variables; graphing probability distributions; calculating expected value from theoretical and empirical distributions; using expected value to weigh decisions and analyze strategies.
How StudyPug Helps NH High School Statistics Students
When a student gets stuck on a concept like interpreting a conditional probability or setting up a simulation model, StudyPug lets them go straight to that topic, watch a focused video lesson, and then work through practice problems with step-by-step explanations. They are not forced to sit through an entire chapter to find the one idea they need.
Every lesson follows the NH Model Competencies, so the examples and problem types match what students see in their New Hampshire classrooms and on assessments. Students build real understanding rather than just memorizing procedures.
Aligned to NH High School Statistics Curriculum
StudyPug's Statistics content is built around the NH Model Competencies, covering every strand from data analysis and probability to statistical inference and decision-making with expected value. Families can be confident that what students practice on StudyPug is the same material their teachers are covering in class.
Written by the StudyPug Math Team
Last updated June 5, 2026
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