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

Yes. StudyPug covers every Statistics topic Idaho high school students encounter, including data distributions, scatter plots, probability, and inference, with step-by-step video lessons and practice problems they can use the same night homework is assigned.

How long are the video lessons?

Most video lessons run between 5 and 15 minutes, so students can watch one concept at a time without losing focus. They can pause, rewind, and rewatch as many times as they need before moving on to practice problems.

Is there a state test for high school Statistics in Idaho?

Idaho high school students are assessed through the ISAT, but Statistics is not always a separately assessed course. Your child's school can confirm which assessments apply. StudyPug content is aligned to Idaho Content Standards regardless of which test is upcoming.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and desktop computers, so your child can study at home, at school, or on the go. No app download is required - it runs directly in any modern browser.

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.

ID High School Statistics Curriculum

Give your student the support they need to succeed in high school Statistics. Every lesson is built around what Idaho schools actually teach, from data analysis to probability and inference.

ID 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 Idaho Statistics

Idaho high school Statistics follows the Idaho Content Standards, covering data representation, statistical inference, and probability. Students work through analyzing data distributions, interpreting scatter plots and correlation, drawing conclusions from sample surveys and experiments, and applying probability rules including conditional probability, independence, and expected value. StudyPug provides video lessons and guided practice problems matched to each of these strands so students can get help exactly where they need it.

Core strands: Data and Distributions, Correlation and Regression, Statistical Inference, Probability and Random Variables
Video lessons covering every Statistics topic in the Idaho Content Standards
Practice problems and step-by-step worked examples for each concept
Content aligned to Idaho Content Standards for high school Statistics

Curriculum topics by strand

Find lessons and practice problems for every high school Statistics topic, aligned to Idaho Content Standards.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

Idaho High School Statistics Topics

Data Representation: Represent data with dot plots, histograms, and box plots; compare center and spread using median, mean, interquartile range, and standard deviation; interpret differences in shape, center, and spread including the effect of outliers.
Normal Distribution and Frequency Tables: Fit data to a normal distribution using mean and standard deviation; estimate population percentages using calculators and tables; summarize categorical data in two-way frequency tables and interpret joint, marginal, and conditional relative frequencies.
Correlation and Regression: Represent two-variable data on scatter plots; compute and interpret the correlation coefficient of a linear fit; distinguish between correlation and causation.
Statistical Inference: Understand statistics as a process for making inferences from random samples; evaluate sample surveys, experiments, and observational studies; estimate population means and proportions with margins of error; compare treatments using randomized experiments and simulation; 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; construct and interpret two-way frequency tables as sample spaces.
Random Variables and Expected Value: Define random variables and graph probability distributions; calculate expected value; develop probability distributions using theoretical and empirical probabilities; use expected values to analyze decisions and strategies.

How StudyPug Helps Idaho High School Statistics Students

When a student gets stuck on a concept like conditional probability or confidence intervals, StudyPug lets them go back to the exact lesson that covers it. Each topic is broken into short video lessons followed by practice problems with step-by-step explanations, so students are not left staring at a textbook with no direction.

Parents can also track what their child is working on, making it easy to spot gaps before a test. Because content is organized by strand and aligned to Idaho Content Standards, students spend their time on material that matches what their teacher is covering in class.

Aligned to Idaho High School Statistics Curriculum

Every lesson and practice problem on StudyPug is built around the Idaho Content Standards for high school Statistics. Topics are organized to follow the same progression Idaho classrooms use - from data analysis and distribution to probability rules and statistical inference - so students are always studying content that matches their coursework.

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Practice questions for every Idaho 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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