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

Yes. StudyPug covers every strand in the South Carolina course, from interpreting data distributions and scatter plots to probability rules and expected value, so students can find help for any homework problem quickly.

How long are the video lessons for Probability and Statistics?

Most video lessons run between a few minutes and about ten minutes. Students can pause, rewind, and rewatch as many times as they need, making it easy to work through a topic at their own pace alongside their schoolwork.

Is there a South Carolina state test for High School Probability and Statistics?

South Carolina uses the SC READY assessment for earlier grades and end-of-course tests for some high school courses. Whether this specific course carries a state assessment depends on your school's program - check with your school for current testing requirements.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and desktop computers, so students can practice data analysis and probability concepts at home, on the go, or anywhere they have an internet connection.

Can I try StudyPug before paying?

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

SC High School Probability and Statistics Curriculum

Give your high schooler the support they need to succeed in Probability and Statistics. Every lesson and practice set follows what South Carolina schools actually teach.

SC High School Probability and 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

Probability and Statistics

About High School South Carolina Probability and Statistics

South Carolina follows the SC College- and Career-Ready Standards, which organize this course around interpreting data, understanding probability, and making statistical inferences. Students work through data representation and distribution, bivariate data and correlation, statistical reasoning with samples and experiments, probability rules and independence, random variables, and expected value. StudyPug provides step-by-step lessons and practice problems covering every strand in this course.

Strands: data representation, bivariate data, statistical inference, probability, and random variables
Video lessons and worked examples for every topic in the course
Practice problems with step-by-step solutions aligned to SC College- and Career-Ready Standards
On-demand access so students can review any concept at their own pace

Curriculum topics by strand

Find lessons and practice problems for every strand, aligned to the SC College- and Career-Ready Standards for high school Probability and Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

SC High School Probability and Statistics Topics

Data Representation and Distribution: Represent data with dot plots, histograms, and box plots; compare center and spread using median, mean, interquartile range, and standard deviation; interpret shape and outliers; fit data to a normal distribution and estimate population percentages.
Bivariate Data and Correlation: Summarize categorical data in two-way frequency tables; represent quantitative data on scatter plots; compute and interpret the correlation coefficient; distinguish between correlation and causation.
Statistical Inference and Study Design: Understand sampling and inference; evaluate sample surveys, experiments, and observational studies; use simulation to estimate margins of error and assess significance of differences between treatments; evaluate reports based on data.
Probability Rules and Independence: Apply the Addition Rule and Multiplication Rule; understand and compute conditional probability; construct and interpret two-way frequency tables as sample spaces; recognize independence in everyday situations.
Counting, Permutations, and Combinations: Use permutations and combinations to compute probabilities of compound events and solve real-world problems.
Random Variables and Expected Value: Define random variables; graph probability distributions; calculate expected value; develop probability distributions from theoretical and empirical data; apply expected value to decision-making and strategy analysis.

How StudyPug Helps SC High School Probability and Statistics Students

When a student gets stuck on a concept like conditional probability or interpreting a regression line, StudyPug lets them go back to the exact lesson they need, work through step-by-step examples, and then try practice problems until the idea clicks. Every topic follows what South Carolina classrooms cover, so nothing feels out of place.

Students preparing for end-of-course assessments or college-readiness benchmarks can use StudyPug to review specific strands, strengthen weak areas, and build confidence before tests - all on their own schedule and on any device.

Aligned to SC High School Probability and Statistics Curriculum

Every lesson and practice problem in this course is built around the SC College- and Career-Ready Standards for high school Probability and Statistics. That means the content, vocabulary, and problem types students encounter on StudyPug reflect exactly what their South Carolina teachers are required to teach, so there are no gaps between what students study here and what they see in class.

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Written by the StudyPug Math Team

Last updated June 5, 2026

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