DC High School Statistics Curriculum
Give your teen the support they need to succeed in high school Statistics. Our lessons and practice problems follow what DC schools actually teach, from data analysis to probability and inference.
About High School District of Columbia Statistics
The District of Columbia follows District of Columbia academic standards for mathematics, organized around interpreting data, modeling with probability, and making statistical inferences. This course covers data distributions and plots, correlation and regression, two-way frequency tables, probability rules, random variables, expected value, and simulation-based inference. StudyPug provides video lessons, practice problems, and step-by-step explanations aligned to every strand.
- Strands: data distributions, correlation and regression, probability, random variables and expected value, and statistical inference
- Video lessons covering every topic in the DC high school Statistics course
- Practice problems and worked examples for data analysis, probability rules, and inference
- Content aligned to District of Columbia academic standards for high school Statistics
Curriculum topics by strand
Lessons and practice for every DC high school Statistics strand, aligned to District of Columbia academic standards.
DC High School Statistics Topics
- Data distributions and plots: Representing data with dot plots, histograms, and box plots; comparing center and spread using median, mean, interquartile range, and standard deviation; interpreting shape differences and the effect of outliers.
- Normal distribution and frequency tables: Fitting data to a normal distribution using mean and standard deviation; estimating population percentages; summarizing categorical data in two-way frequency tables with joint, marginal, and conditional relative frequencies.
- Correlation and regression: Representing two quantitative variables on scatter plots; computing and interpreting the correlation coefficient; distinguishing between correlation and causation.
- Statistical inference and simulation: Understanding sampling as inference; distinguishing sample surveys, experiments, and observational studies; using simulation to estimate margins of error and evaluate differences between treatments; evaluating data-based reports.
- Probability rules: Independent and conditional probability; the Addition Rule; the general Multiplication Rule; permutations and combinations for compound events.
- Random variables and expected value: Defining random variables; graphing probability distributions; calculating and interpreting expected value from theoretical and empirical distributions; applying expected value to decisions and strategies.
How StudyPug Helps DC High School Statistics Students
When a student gets stuck on a concept like conditional probability or the normal curve, StudyPug lets them go back to a focused video lesson, work through guided practice problems, and check their understanding before the next class. Every topic follows the sequence used in District of Columbia high school Statistics courses, so nothing feels out of place.
Students can move at their own pace, revisiting earlier strands such as data distributions or two-way frequency tables whenever a later topic like inference requires that foundation. Practice problems with step-by-step explanations make it easier to spot exactly where a mistake happened.
Aligned to DC High School Statistics Curriculum
All StudyPug Statistics content is built around District of Columbia academic standards for high school mathematics, covering the same strands - data analysis, probability, random variables, and statistical inference - that DC teachers use in the classroom, so students are always preparing for the material that counts.
Written by the StudyPug Math Team
Last updated June 5, 2026
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