CO High School Statistics Curriculum
Give your high schooler the support they need to succeed in Colorado Statistics. Our lessons and practice problems follow what local schools actually teach, from data distributions to probability and inference.
About High School Colorado Statistics
Colorado follows the Colorado Academic Standards, organizing high school Statistics around interpreting data, drawing inferences, and understanding probability. This course covers data representation and distribution, comparing data sets, bivariate data and correlation, statistical inference and sampling, probability rules and independence, conditional probability, random variables, and expected value. StudyPug provides step-by-step lessons, worked examples, and practice problems matched to each strand of the Colorado Academic Standards.
- Strands: data representation, comparing distributions, bivariate data, statistical inference, probability, conditional probability, random variables, and expected value
- Video lessons and step-by-step examples for every Statistics topic
- Practice problems with instant feedback, aligned to Colorado Academic Standards
- Study tools accessible on any device, organized by strand for easy navigation
Curriculum topics by strand
Find lessons and practice for every high school Statistics topic, organized by strand and aligned to Colorado Academic Standards.
Colorado High School Statistics Topics
- Data representation: Dot plots, histograms, and box plots on the real number line.
- Comparing data sets: Center (median, mean) and spread (interquartile range, standard deviation) across two or more distributions.
- Shape, outliers, and context: Interpreting differences in shape, center, and spread, including the effect of extreme data points.
- Normal distribution: Using mean and standard deviation to fit data to a normal curve and estimate population percentages.
- Two-way frequency tables: Summarizing categorical data, interpreting joint, marginal, and conditional relative frequencies.
- Bivariate data and scatter plots: Representing two quantitative variables, computing and interpreting correlation coefficients, and distinguishing correlation from causation.
- Statistical inference and sampling: Making inferences from random samples, margin of error, sample surveys, experiments, observational studies, and evaluating data reports.
- Probability rules: Independence, the Addition Rule, the Multiplication Rule, permutations, and combinations.
- Conditional probability: Calculating P(A given B), interpreting independence, and using two-way tables as sample spaces.
- Random variables and expected value: Defining random variables, probability distributions, expected value, and applying probability to decisions and strategies.
How StudyPug Helps Colorado High School Statistics Students
When a student gets stuck on a concept like margin of error or the difference between correlation and causation, StudyPug lets them go back to the exact lesson they need. Each topic is broken into short, focused video lessons followed by practice problems, so they can work through the Colorado Academic Standards strand by strand rather than rereading a whole textbook chapter.
Students can also build confidence before tests by working through problems on normal distributions, conditional probability, and expected value at their own pace, on any device, and as many times as they need.
Aligned to Colorado High School Statistics Curriculum
Every lesson and practice set on StudyPug is built around the Colorado Academic Standards for high school Statistics, covering all required strands from data representation and inference through probability and random variables, so what students practice here directly supports what they are learning in class.
Written by the StudyPug Math Team
Last updated June 5, 2026
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