Will this help with my child's AP Statistics homework?

Yes. StudyPug covers every strand in California's AP Statistics course, including data distributions, probability, and inference. Students can find the exact topic they are stuck on and work through step-by-step video lessons and practice problems right away.

How long are the video lessons?

Most AP Statistics video lessons are short and focused, typically running a few minutes each. They are broken down by specific concept so students can go straight to the topic they need without sitting through a full lecture to find the relevant part.

Is there a California state test for AP Statistics?

AP Statistics students can sit the College Board AP Statistics Exam in May. California's statewide CAASPP assessment targets Grades 3-8 and Grade 11 general math, so AP Statistics itself is assessed through the AP Exam rather than a California state test.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so students can watch lessons and complete practice problems at home, on the go, or whenever they have a few minutes between classes or activities.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can see how the content works before committing. There is also a 30-day money-back guarantee, so you can start with confidence knowing you are not locked in.

CA High School AP Statistics Curriculum

Give your high schooler the support they need to succeed in AP Statistics. Our lessons and practice problems follow what California schools teach, from data analysis to probability and inference.

CA High School AP 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

AP Statistics

About High School California AP Statistics

California high school math follows the California Mathematics Standards, and AP Statistics covers a rigorous set of strands: exploring data through plots and distributions, summarizing and interpreting categorical and quantitative data, understanding probability and random variables, and making statistical inferences from samples and experiments. StudyPug provides video lessons and practice problems for every strand in this course, helping students work through challenging concepts at their own pace.

Strands: Exploring Data, Probability, Random Variables, and Statistical Inference
Video lessons covering every AP Statistics topic in the California Mathematics Standards
Practice problems and step-by-step explanations for data analysis and probability
Content aligned to California Mathematics Standards for high school AP Statistics

Curriculum topics by strand

Find lessons and practice for every AP Statistics strand, aligned to the California Mathematics Standards.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

CA High School AP Statistics Topics

Exploring Data: Represent data with dot plots, histograms, and box plots; compare center and spread using median, mean, interquartile range, and standard deviation; interpret shape, outliers, and differences across data sets.
Normal Distributions and Categorical Data: Fit data to normal distributions using mean and standard deviation; estimate areas under the normal curve; summarize categorical data in two-way frequency tables and interpret joint, marginal, and conditional relative frequencies.
Bivariate Data and Correlation: Represent two quantitative variables on scatter plots; compute and interpret correlation coefficients; distinguish between correlation and causation.
Statistical Inference and Sampling: Understand statistics as a process for inference; evaluate sample surveys, experiments, and observational studies; use simulation to estimate margins of error and decide if treatment differences are significant; evaluate reports based on data.
Probability: Apply rules for independent events, conditional probability, the Addition Rule, and the general Multiplication Rule; 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 probability distributions from theoretical and empirical data; analyze decisions using probability concepts.

How StudyPug Helps CA High School AP Statistics Students

When a student gets stuck on a concept like conditional probability or margin of error, StudyPug lets them pull up a focused video lesson on that exact topic, watch a worked example, and then try practice problems with step-by-step explanations. This means they are not waiting for the next class period or rereading a dense textbook section to move forward.

Because the content is organized by strand - the same strands that appear in the California Mathematics Standards for AP Statistics - students and parents can quickly find what matches the current unit in class and work through it on any device, at any time.

Aligned to CA High School AP Statistics Curriculum

Every lesson and practice problem in StudyPug's AP Statistics course is built around the California Mathematics Standards, covering the full range of strands from data exploration and normal distributions through probability rules, random variables, and statistical inference - so what students practice here matches directly what they are expected to know in their California classroom and on the AP Statistics Exam.

Ready to put your AP Statistics skills to the test?

Practice questions for every CA AP 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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