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

Yes. StudyPug covers every Illinois Learning Standards Statistics topic with worked examples and practice problems, so students can find help on the exact concept causing trouble, whether it is outliers, regression, or probability rules.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes, focused on one concept at a time. Students can pause, rewind, and re-watch as many times as they need until the idea is clear before moving on to practice.

Is there an Illinois state test for High School Statistics?

Illinois administers the IAR in grades 3 through 8. High school students may encounter Statistics content on end-of-course assessments, but there is no single statewide Statistics-only exam for all high school students in Illinois.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, laptops, and desktop computers. Students can switch between devices and pick up right where they left off, making it easy to study at home or on the go.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can see the quality before committing. There is also a 30-day money-back guarantee, so you can subscribe with confidence and get a refund if it is not the right fit.

IL High School Statistics Curriculum

Give your high schooler the support they need to succeed in Statistics. Every lesson follows the Illinois Learning Standards, covering data analysis, probability, and statistical inference.

Start Statistics →

IL 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 Illinois Statistics

Illinois high school Statistics follows the Illinois Learning Standards, organized around interpreting data distributions, drawing inferences from samples, understanding probability, and working with random variables. Students explore data representation, correlation, regression, conditional probability, and expected value. StudyPug provides video lessons and practice problems that track these strands directly, so students can review exactly what their class is covering.

Strands: Interpreting Data, Making Inferences, Probability, and Random Variables
Video lessons aligned to each Illinois Learning Standards Statistics strand
Practice problems and step-by-step explanations for every topic
Coverage matched to Illinois high school Statistics expectations

Curriculum topics by strand

Lessons and practice for every strand of Illinois high school Statistics, aligned to the Illinois Learning Standards.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

IL High School Statistics Topics

Interpreting Data Distributions: Represent data with dot plots, histograms, and box plots; compare center and spread using median, mean, interquartile range, and standard deviation; interpret the effects of outliers on shape and spread.
Normal Distributions and Two-Way Tables: Fit data to a normal distribution using mean and standard deviation to estimate population percentages; summarize categorical data in two-way frequency tables and interpret joint, marginal, and conditional relative frequencies.
Scatter Plots, Correlation, and Regression: Represent two quantitative variables on a scatter plot; compute and interpret the correlation coefficient of a linear fit; distinguish between correlation and causation.
Statistical Inference and Sampling: Understand statistics as a process for making inferences about population parameters from random samples; use simulation to evaluate models; differentiate among sample surveys, experiments, and observational studies; develop a margin of error using simulation models.
Probability and Independence: Determine whether events are independent; interpret conditional probability; construct and use two-way frequency tables as sample spaces; apply the Addition Rule and the general Multiplication Rule.
Counting and Compound Events: Use permutations and combinations to compute probabilities of compound events.
Random Variables and Expected Value: Define random variables and graph probability distributions; calculate expected value; develop theoretical and empirical probability distributions; apply expected value to decisions and strategies.

How StudyPug Helps Illinois High School Statistics Students

When a student gets stuck on a Statistics concept - whether it is setting up a two-way frequency table, applying the Multiplication Rule, or interpreting a correlation coefficient - StudyPug lets them go straight to that topic. Each lesson breaks the idea down into clear steps, followed by practice problems that build confidence before moving on.

Parents can track progress across every strand, and students can work at their own pace outside school hours. Because the content is mapped to the Illinois Learning Standards, what students study on StudyPug connects directly to what they are responsible for in class.

Aligned to Illinois High School Statistics Curriculum

Every Statistics lesson and practice set on StudyPug is built around the Illinois Learning Standards for high school Statistics, covering all strands from data representation and inference to probability and random variables, so students are always working on material that counts in their Illinois classroom.

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

Practice questions for every IL High School Statistics topic - with instant feedback and step-by-step video solutions when you get stuck.

Start Practicing

Written by the StudyPug Math Team

Last updated June 5, 2026

3 M+

students

★★★★★

4.8 average

92%

improve grades