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

Yes. StudyPug covers every strand in Wyoming high school Statistics, including data distributions, scatter plots, probability rules, and statistical inference, so your student can find help on the exact topic assigned that night.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes. Each one focuses on a single concept - such as computing a correlation coefficient or applying the Addition Rule - so students can watch exactly what they need without sitting through a full lecture.

Is there a Wyoming state test for High School Statistics?

Wyoming administers the WY-TOPP assessment, but it targets specific grade levels rather than individual high school courses. Students in this Statistics course are not typically in a WY-TOPP Statistics testing year, so preparation here focuses on classroom success and college readiness.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so your student can watch a lesson on scatter plots or work through probability practice problems at home, at school, or on the go.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the content before committing. Every paid plan also comes with a 30-day money-back guarantee, so there is no risk in getting started.

WY High School Statistics Curriculum

Give your student the support they need for Wyoming high school Statistics. Our lessons and practice problems cover every strand, from data analysis to probability and inference.

WY 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 Wyoming Statistics

Wyoming follows the Wyoming Standards for Mathematics, which organizes high school Statistics around interpreting data, drawing inferences, and understanding probability. This course covers data distributions and displays, comparing data sets, scatter plots and correlation, statistical inference and simulation, probability rules and conditional probability, and random variables with expected value. StudyPug provides video lessons and practice problems aligned to Wyoming Standards for every one of these strands.

Strands: data distributions, scatter plots and correlation, statistical inference, probability rules, conditional probability, and random variables
Video lessons for every Statistics topic, taught step by step
Practice problems with instant feedback and worked solutions
Fully aligned to Wyoming Standards for high school Statistics

Curriculum topics by strand

Browse lessons and practice problems organized by strand, aligned to Wyoming Standards for high school Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

WY High School Statistics Topics

Data distributions and displays: Representing data with dot plots, histograms, and box plots; comparing center and spread using median, mean, interquartile range, and standard deviation; interpreting differences in shape and the effect of outliers.
Normal distribution and two-way tables: Fitting data to a normal distribution using mean and standard deviation; estimating population percentages; summarizing categorical data in two-way frequency tables and interpreting joint, marginal, and conditional relative frequencies.
Scatter plots, correlation, and causation: Representing two quantitative variables on a scatter plot; computing and interpreting the correlation coefficient; distinguishing between correlation and causation.
Statistical inference and simulation: Understanding statistics as a process for making inferences about population parameters; using simulation to evaluate models; distinguishing sample surveys, experiments, and observational studies; estimating population means and proportions with margins of error; comparing treatments from randomized experiments; evaluating data reports.
Probability rules and independence: Understanding independent events and conditional probability; constructing and interpreting two-way frequency tables as sample spaces; applying the Addition Rule and the general Multiplication Rule; using permutations and combinations to compute probabilities of compound events.
Random variables and expected value: Defining random variables and graphing probability distributions; calculating and interpreting expected value; developing theoretical and empirical probability distributions; using expected value to analyze decisions and evaluate strategies.

How StudyPug Helps WY High School Statistics Students

When a student gets stuck on a concept like conditional probability or the normal distribution, StudyPug lets them rewatch a focused video lesson, then try practice problems with instant feedback. Each solution is worked out step by step, so the student can see exactly where their reasoning went wrong and correct it before the next class.

Because every lesson is mapped to the Wyoming Standards for Mathematics, students are always working on material that matches what their Wyoming teacher is covering - whether that is scatter plots and correlation or setting up a simulation to estimate a margin of error.

Aligned to WY High School Statistics Curriculum

StudyPug content for this course is built around the Wyoming Standards for Mathematics, covering all the Statistics strands that Wyoming high school students are expected to master - from interpreting data distributions and probability models to drawing statistical inferences and evaluating real-world decisions using expected value.

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Jump into practice questions for every WY 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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