Will this help with my child's high school Probability and Statistics homework?

Yes. StudyPug covers every Indiana Academic Standards topic for Probability and Statistics, including data distributions, scatter plots, probability rules, and expected value, so your student can get unstuck on any assignment.

How long are the video lessons for Probability and Statistics?

Most video lessons run between 5 and 15 minutes, breaking each concept into a focused explanation followed by worked examples, so students can fit a lesson into any study session without losing the thread.

Is there a state test for high school Probability and Statistics in Indiana?

Indiana uses the ILEARN assessment, but it targets specific grade levels rather than this elective course. Check with your student's school to confirm which assessments apply to Probability and Statistics at their campus.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and desktop computers, so your student can watch lessons and complete practice problems whether they are at home, at school, or on the go.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so your family can explore the content before committing. A 30-day money-back guarantee is also included if the subscription is not the right fit.

IN High School Probability and Statistics Curriculum

Give your student the support they need to succeed in Indiana high school Probability and Statistics. Every lesson follows the Indiana Academic Standards, covering data analysis, probability, and statistical inference.

IN 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 Indiana Probability and Statistics

Indiana high school Probability and Statistics follows the Indiana Academic Standards. The course covers data representation and interpretation, statistical inference, probability rules, and random variables. Students analyze data distributions, explore correlation and regression, work with conditional probability and independence, and develop probability models including expected value. StudyPug provides video lessons and practice problems aligned to every strand in this course.

Strands: Data Analysis and Distribution, Statistical Inference, Probability Rules and Conditional Probability, Random Variables and Expected Value
Video lessons and step-by-step worked examples for every topic
Practice problems with immediate feedback aligned to Indiana Academic Standards
Tools to review scatter plots, normal distributions, simulations, and probability models

Curriculum topics by strand

Browse lessons and practice problems organized by strand, aligned to the Indiana Academic Standards for high school Probability and Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

Indiana 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 outliers and fit data to a normal distribution.
Two-Variable Data and Regression: Summarize categorical data in two-way frequency tables; represent quantitative data on scatter plots; compute and interpret correlation coefficients; distinguish between correlation and causation.
Statistical Inference and Sampling: Understand statistics as an inference process; compare sample surveys, experiments, and observational studies; estimate population means and proportions with margin of error; use simulations to evaluate randomized experiments; evaluate reports based on data.
Probability Rules and Conditional Probability: Apply addition and multiplication rules; interpret conditional probability and independence; construct and interpret two-way frequency tables as sample spaces; use permutations and combinations for compound events.
Random Variables and Expected Value: Define random variables and graph probability distributions; calculate expected value for theoretical and empirical distributions; weigh outcomes of decisions using expected value; analyze decisions and strategies using probability concepts.

How StudyPug Helps Indiana High School Probability and Statistics Students

When a student gets stuck on a concept like the normal distribution or conditional probability, StudyPug lets them go back to the exact lesson they need, watch a clear step-by-step explanation, and then work through practice problems until the idea clicks. The content is organized to match what Indiana classrooms teach, so students are never studying something off-topic.

Students can also move ahead when they are ready. Whether reviewing scatter plots before a quiz or exploring probability models for the first time, StudyPug gives every student a clear path through the full Indiana Academic Standards for this course.

Aligned to Indiana High School Probability and Statistics Curriculum

Every lesson and practice problem in StudyPug's Probability and Statistics course is built around the Indiana Academic Standards, covering the same data analysis, probability, and statistical inference concepts that students encounter in Indiana high school classrooms, so the support they get here transfers directly to their coursework.

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Written by the StudyPug Math Team

Last updated June 5, 2026

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