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

Yes. StudyPug covers every strand in Louisiana's high school Statistics and Probability course, including data distributions, scatter plots, normal curves, probability rules, and random variables, matching exactly what students work on in class.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes. Each one focuses on a single concept, so students can rewatch just the part they need without sitting through a full class recording.

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

Louisiana uses LEAP 2025 assessments, but Statistics and Probability is an elective course and is not a standalone LEAP test subject. Students should confirm with their school which end-of-course requirements apply to them.

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 anywhere they have an internet connection.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the content before subscribing. Every paid plan also comes with a 30-day money-back guarantee if you are not satisfied.

LA High School Statistics Curriculum

Give your teen the support they need for Louisiana high school Statistics and Probability. Our lessons cover every strand in the Louisiana Student Standards, from data analysis to probability distributions.

LA 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 and Probability

About High School Louisiana Statistics

Louisiana follows the Louisiana Student Standards, organizing high school Statistics and Probability into strands covering data representation and interpretation, statistical inference, probability, and random variables. Students work through dot plots, histograms, normal distributions, scatter plots, correlation, sample surveys, two-way tables, conditional probability, and expected value. StudyPug provides video lessons and practice problems aligned to every one of these strands.

Strands: data representation, statistical inference, probability, and random variables
Video lessons for every Statistics and Probability topic in the Louisiana Student Standards
Practice problems with step-by-step explanations for each strand
Full alignment to Louisiana high school Statistics and Probability curriculum

Curriculum topics by strand

Lessons and practice problems organized by strand, aligned to the Louisiana Student Standards for high school Statistics and Probability.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

LA High School Statistics Topics

Data representation: Dot plots, histograms, and box plots on the real number line; comparing center and spread using median, mean, interquartile range, and standard deviation.
Data interpretation: Shape, center, and spread in context; effects of outliers; normal distributions; two-way frequency tables with joint, marginal, and conditional relative frequencies.
Bivariate data and correlation: Scatter plots, correlation coefficients, linear fit, and distinguishing correlation from causation.
Statistical inference: Sample surveys, experiments, and observational studies; randomization; margin of error; comparing two treatments using simulations; evaluating data reports.
Probability: Independence, conditional probability, the Addition Rule, the general Multiplication Rule, permutations and combinations, and two-way tables as sample spaces.
Random variables: Probability distributions, expected value, theoretical and empirical distributions, and using probability to analyze decisions and strategies.

How StudyPug Helps Louisiana High School Statistics Students

When a student gets stuck on a concept like the normal distribution or conditional probability, StudyPug lets them go back to exactly the lesson they need. Short, focused video lessons explain each idea from the start, and practice problems with step-by-step explanations help students check their own work and build confidence before a test.

Students preparing for class assignments or reviewing before finals can move through strands at their own pace, repeating any lesson as many times as needed without falling behind in class.

Aligned to Louisiana High School Statistics Curriculum

Every lesson and practice problem on StudyPug is built around the Louisiana Student Standards for high school Statistics and Probability, covering data representation, statistical inference, probability rules, and random variables exactly as they appear in Louisiana classrooms.

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Practice questions for every LA 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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