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

Yes. StudyPug covers every Wisconsin high school Statistics strand - from data distributions and scatter plots to probability and statistical inference - so students can find help for exactly what was assigned in class.

How long are the video lessons?

Most video lessons are short and focused, typically five to fifteen minutes, covering one concept at a time. Students can pause, rewind, and rewatch at their own pace to fit study sessions around a busy schedule.

Is there a Wisconsin state test for High School Statistics?

Wisconsin does not administer a dedicated state assessment specifically for Statistics. Statewide math assessments under the Wisconsin Standards are tied to designated tested grade levels rather than individual high school courses.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so your student can access Statistics lessons and practice problems at home, at school, or on the go without needing to install any additional software.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the content before subscribing. There is also a 30-day money-back guarantee, so you can sign up with confidence and cancel if it is not the right fit.

WI High School Statistics Curriculum

Give your student the support they need to succeed in Wisconsin high school Statistics, with lessons and practice problems covering every strand from data analysis to probability.

WI 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 Wisconsin Statistics

Wisconsin high school Statistics follows the Wisconsin Standards for Mathematics, organized around interpreting data, drawing inferences, and understanding probability. Students work through data distributions, two-way tables, scatter plots, correlation, normal distributions, statistical inference, and probability models including conditional probability, random variables, and expected value. StudyPug provides video lessons and practice problems aligned to every strand in this course.

Strands: data distributions, statistical inference, scatter plots and correlation, probability and random variables
Video lessons with step-by-step worked examples for every topic
Practice problems with instant feedback for each strand
Content aligned to the Wisconsin Standards for Mathematics

Curriculum topics by strand

Browse lessons and practice problems for every strand, aligned to the Wisconsin Standards for Mathematics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

WI High School Statistics Topics

Data distributions: representing data with dot plots, histograms, and box plots; comparing center and spread using median, mean, interquartile range, and standard deviation; interpreting shape and outliers.
Normal distributions and population estimation: fitting data to a normal distribution using mean and standard deviation; estimating population percentages and areas under the normal curve.
Two-way frequency tables: summarizing categorical data; interpreting joint, marginal, and conditional relative frequencies; recognizing associations and trends.
Scatter plots and correlation: representing two quantitative variables on a scatter plot; computing and interpreting the correlation coefficient; distinguishing correlation from causation.
Statistical inference and sampling: understanding statistics as a process for making inferences; sample surveys, experiments, and observational studies; margin of error through simulation; evaluating data-based reports.
Probability and independence: independent events; conditional probability; two-way tables as sample spaces; Addition Rule and Multiplication Rule; permutations and combinations.
Random variables and expected value: defining random variables; graphing probability distributions; calculating expected value; theoretical and empirical probability distributions; applying expected value to decisions and strategies.

How StudyPug Helps WI High School Statistics Students

When a student gets stuck on a concept like interpreting the correlation coefficient or calculating conditional probability, StudyPug provides focused video lessons that walk through each idea one step at a time. Practice problems follow every lesson so students can check their understanding immediately rather than waiting until a test.

For Wisconsin students working toward deadlines or preparing for course exams, having on-demand access to lessons across every Statistics strand means gaps in understanding can be addressed as soon as they appear - whether the topic is margin of error, expected value, or the difference between an observational study and a randomized experiment.

Aligned to WI High School Statistics Curriculum

Every lesson and practice problem on StudyPug is mapped to the Wisconsin Standards for Mathematics, so the content your student encounters on the platform matches exactly what is being taught in their Wisconsin high school Statistics class - from data representation and normal distributions through probability models and statistical decision-making.

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

Jump into practice questions for every WI 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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