Will this help with my child's High School Statistics homework?

Yes. StudyPug covers every strand in the WV CCR Statistics curriculum, including data distributions, probability, and statistical inference, so students can find help for exactly the topic assigned in class.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes and focus on a single concept, such as correlation versus causation or calculating expected value, so students can go straight to what they need without sitting through a full lecture.

Is there a West Virginia state test for High School Statistics?

West Virginia's general summative assessment covers core high school math courses. Statistics is typically offered as an elective, so it may not appear on the standard assessment. Check with your child's school for the specific testing requirements that apply to this course.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and desktop computers, so your child can practice data analysis or review probability rules at home, at school, or on the go without any special setup.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the content before subscribing, and every paid plan comes with a 30-day money-back guarantee if you are not satisfied.

WV High School Statistics Curriculum

Give your high schooler the support they need to succeed in Statistics. Our lessons and practice problems follow what West Virginia classrooms teach, from data analysis to probability.

WV High School 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

High School Statistics

About High School West Virginia Statistics

West Virginia follows the WV College Career Ready Standards for high school math, which organize Statistics around interpreting data, drawing inferences, and understanding probability. This course covers data distributions and plots, correlation and regression, two-way frequency tables, statistical inference using simulation and sampling, probability rules, conditional probability, random variables, and expected value. StudyPug provides video lessons and step-by-step practice problems aligned to every strand of the WV CCR Statistics curriculum.

Strands: data distributions, statistical inference, probability, and random variables
Video lessons with step-by-step worked examples for every topic
Practice problems with instant feedback for each strand
Fully aligned to WV College Career Ready Standards for high school Statistics

Curriculum topics by strand

Browse lessons and practice problems organized by strand, aligned to the WV College Career Ready Standards for high school Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

WV High School Statistics Topics

Data distributions and plots: Representing data with dot plots, histograms, and box plots; comparing center and spread using mean, median, interquartile range, and standard deviation; interpreting shape and outliers.
Normal distribution and frequency 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 regression: Representing two quantitative variables on a scatter plot; computing and interpreting correlation coefficients; distinguishing between correlation and causation.
Statistical inference and sampling: Understanding statistics as a process for making inferences about populations; comparing sample surveys, experiments, and observational studies; using simulation to estimate margins of error and evaluate differences between treatments.
Probability rules and conditional probability: Applying the Addition Rule and Multiplication Rule; computing conditional probability; recognizing independence in everyday situations; using 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; applying expected value to decision-making and strategy analysis.

How StudyPug Helps WV High School Statistics Students

When a student gets stuck on a concept like interpreting a two-way frequency table or applying the general Multiplication Rule, StudyPug provides a short video lesson that walks through the idea one step at a time. After watching, the student can immediately move into practice problems on that exact topic and check their work with instant feedback.

For longer projects like designing a simulation or evaluating a report based on data, StudyPug's worked examples show how to organize the reasoning from start to finish, following the approach West Virginia teachers expect under the WV CCR Standards.

Aligned to WV High School Statistics Curriculum

Every lesson and practice problem in StudyPug's Statistics course is built around the WV College Career Ready Standards, covering all strands that West Virginia high school students are expected to master - from data analysis and probability to statistical inference and random variables - so the content your child practices matches what is taught in class.

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

Jump into practice questions for every WV High School 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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