Will this help with my child's high school Probability & Statistics homework?

Yes. StudyPug covers every Virginia SOL strand for this course - from data distributions and scatter plots to conditional probability and expected value - so your child can find help for any assignment or topic they are working on.

How long are the video lessons for Probability & Statistics?

Most video lessons run between 5 and 15 minutes and focus on a single concept, such as interpreting a normal distribution or applying the Multiplication Rule, so students can find exactly what they need without sitting through a full lecture.

Is there a Virginia state test for high school Probability & Statistics?

Virginia administers SOL end-of-course assessments, but a dedicated Probability and Statistics SOL test is not universally required for all students - check with your student's school to confirm which assessments apply to this course.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so your child can practice data analysis, probability problems, and more from any device at home or on the go.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the content before committing, and every paid plan includes a 30-day money-back guarantee if it is not the right fit.

VA High School Probability & Statistics Curriculum

Give your high schooler the support they need in Virginia Probability and Statistics - lessons and practice problems covering every strand taught in Virginia classrooms, from data analysis to probability distributions.

VA High School Probability & Statistics Curriculum

IDStandardStudyPug Topic

CC.HSS.ID.A.1Represent data with plots on the real number line (dot plots, histograms, and box plots).
- Why learn log?
- Equation of the best fit line
- The determinant of a 2 x 2 matrix
- Frequency distribution and histograms
CC.HSS.ID.A.2Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
- Median and mode
- Mean
- Range and outliers
- Center of a data set: mean, median, mode
- Spread of a data set - standard deviation & variance
CC.HSS.ID.A.3Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
- Application of averages
- Shapes of distributions
CC.HSS.ID.A.4Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
- Introduction to normal distribution
- Normal distribution and continuous random variable
- Z-scores and random continuous variables
CC.HSS.ID.B.5Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
- Reading and drawing Venn diagrams
- Probability with Venn diagrams
CC.HSS.ID.B.6Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
- Reading and drawing line graphs
- Bivariate, scatter plots and correlation
CC.HSS.IC.A.1Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
- Sampling methods
CC.HSS.IC.A.2Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation.
- Sampling distributions
- Rare event rule
CC.HSS.IC.B.3Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
- Census and bias
CC.HSS.IC.B.4Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
- Margin of error
- Confidence intervals to estimate population mean
- Making a confidence interval
CC.HSS.IC.B.5Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
- Traditional hypothesis testing
- P-value hypothesis testing
- Analysis of variance (ANOVA)
CC.HSS.IC.B.6Evaluate reports based on data.
- Influencing factors in data collection
CC.HSS.CP.A.2Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent.
- Probability of independent events
- Multiplication rule for
- Probability of independent events
CC.HSS.CP.A.3Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B.
- Conditional probability
CC.HSS.CP.A.5Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations.
- Comparing experimental and theoretical probability
CC.HSS.CP.B.7Apply the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), and interpret the answer in terms of the model.
- Addition rule for
CC.HSS.CP.B.9Use permutations and combinations to compute probabilities of compound events and solve problems.
- Permutations
- Combinations
- Probability involving permutations and combinations
CC.HSS.MD.A.1Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.
- Probability distribution - histogram, mean, variance & standard deviation
CC.HSS.MD.A.2Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.
- Properties of expectation
CC.HSS.MD.A.3Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value.
- Binomial distribution
- Mean and standard deviation of binomial distribution
CC.HSS.MD.B.7Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).
- Type 1 and type 2 errors

Probability & Statistics

About High School Virginia Probability & Statistics

Virginia follows the Virginia Standards of Learning (SOL), which organizes this course around data analysis, statistical inference, and probability. Students work through representing and comparing data distributions, exploring correlation and scatter plots, designing and evaluating statistical studies, applying conditional probability and independence rules, and building probability distributions with expected values. StudyPug provides step-by-step lessons and practice problems aligned to every SOL strand in this course.

Strands: data distributions, statistical inference, scatter plots and correlation, conditional probability and independence, and probability distributions with expected value
Video lessons covering every Virginia SOL topic in this course
Practice problems with step-by-step solutions for each strand
Content aligned to the Virginia Standards of Learning for high school statistics

Curriculum topics by strand

Browse lessons and practice problems organized by strand, aligned to the Virginia Standards of Learning for high school Probability and Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

VA High School Probability & Statistics Topics

Data Distributions: Represent data with dot plots, histograms, and box plots; compare center and spread using mean, median, interquartile range, and standard deviation; interpret outliers and fit data to a normal distribution.
Categorical Data and Two-Way Tables: Summarize categorical data in two-way frequency tables; interpret joint, marginal, and conditional relative frequencies; recognize associations and trends.
Scatter Plots and Correlation: Represent two quantitative variables on a scatter plot; compute and interpret the correlation coefficient; distinguish between correlation and causation.
Statistical Inference and Study Design: Understand sampling and inference; recognize differences among surveys, experiments, and observational studies; estimate population parameters and margins of error using simulation; evaluate data reports.
Conditional Probability and Independence: Apply definitions of independence and conditional probability; construct and interpret two-way frequency tables as sample spaces; apply the Addition Rule and general Multiplication Rule; use permutations and combinations for compound events.
Probability Distributions and Expected Value: Define random variables; graph probability distributions; calculate and interpret expected value; develop theoretical and empirical distributions; analyze decisions using probability and expected value.

How StudyPug Helps Virginia High School Probability & Statistics Students

When students get stuck on a concept like interpreting the correlation coefficient or applying the general Multiplication Rule, StudyPug provides clear step-by-step video lessons that break the idea down to its simplest form. Every strand in the Virginia SOL for this course is covered, so there is no gap between what is taught in class and what students can review here.

After watching a lesson, students can move straight into practice problems with instant feedback and worked solutions, reinforcing skills in areas such as normal distributions, simulation-based inference, and expected value calculations - exactly the skills tested in Virginia high school statistics.

Aligned to Virginia High School Probability & Statistics Curriculum

All content on StudyPug for this course is built around the Virginia Standards of Learning (SOL) for high school Probability and Statistics, ensuring that every lesson and practice problem matches what Virginia students are expected to learn - from designing randomized experiments and evaluating reports based on data to weighting decisions with probability and analyzing real-world strategies using expected value.

Ready to put your High School Probability & Statistics skills to the test?

Jump into practice questions for every VA high school Probability & Statistics topic - with instant feedback and step-by-step video solutions when you get stuck.

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Written by the StudyPug Math Team

Last updated June 5, 2026

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