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

Yes. StudyPug covers every Florida B.E.S.T. Statistics topic, from data distributions and scatter plots to probability rules and inference, so students can find step-by-step help for any homework problem.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes, broken into focused segments by concept. Students can pause, rewind, and rewatch as many times as needed to work through topics at their own pace.

Is there a Florida state test for High School Statistics?

Florida does not require a statewide Statistics end-of-course exam for all students. Some students may take a district or course-level assessment. The Florida B.E.S.T. Standards guide what this course covers.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so your student can review Statistics lessons and complete practice problems at home, at school, or on the go with any modern browser.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can explore the Statistics content before committing. All paid plans also include a 30-day money-back guarantee if the service is not the right fit.

FL High School Statistics Curriculum

Give your student the support they need to succeed in Florida high school Statistics. Our lessons and practice problems follow Florida B.E.S.T. Standards so every topic matches what is taught in class.

FL High School Statistics Curriculum

FL StandardShortened BenchmarkStudyPug 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 Florida Statistics

Florida high school Statistics follows the Florida B.E.S.T. Standards, organized around interpreting data, making inferences, and understanding probability. This course covers data distributions and graphical displays, comparing data sets using center and spread, linear models and correlation, two-way frequency tables, probability rules including conditional probability and independence, random variables, expected value, and simulation-based inference. StudyPug provides video lessons, worked examples, and practice problems aligned to every strand.

Strands: data analysis and distributions, probability and independence, statistical inference and simulation, random variables and expected value
Video lessons covering every Florida B.E.S.T. Statistics topic
Practice problems and step-by-step explanations for each concept
Content aligned to Florida B.E.S.T. Standards and the FAST assessment framework

Curriculum topics by strand

Browse lessons and practice problems organized by strand, aligned to Florida B.E.S.T. Standards for high school Statistics.

Topic includes:

Practice

Video

Quiz

FL Standard

Shortened Benchmark

StudyPug Topic

Florida High School Statistics Topics

Data distributions and graphical displays: Representing data with dot plots, histograms, and box plots; comparing center and spread using median, mean, interquartile range, and standard deviation; interpreting outliers.
Normal distribution and population estimation: Fitting data to a normal distribution using mean and standard deviation; estimating population percentages using calculators, spreadsheets, and tables.
Two-way frequency tables and categorical data: Summarizing two-category data; interpreting joint, marginal, and conditional relative frequencies; recognizing associations and trends.
Scatter plots, correlation, and causation: Representing two quantitative variables on a scatter plot; computing and interpreting correlation coefficients; distinguishing correlation from causation.
Statistical inference and simulation: Making inferences about population parameters from random samples; understanding surveys, experiments, and observational studies; estimating population means and proportions with margins of error; evaluating data reports.
Probability, independence, and conditional probability: Applying Addition and Multiplication Rules; computing conditional probability; using two-way tables to assess independence; interpreting probability in everyday situations.
Counting methods and compound events: Using permutations and combinations to compute probabilities of compound events.
Random variables and expected value: Defining random variables; graphing probability distributions; calculating and interpreting expected value; applying probability to decisions and strategies.

How StudyPug Helps Florida High School Statistics Students

When a student gets stuck on a concept like conditional probability or margin of error, StudyPug lets them go back to the exact lesson, watch a worked example, and then try practice problems until the idea clicks. Every topic is broken into short, focused video lessons that match what Florida teachers are covering in class under the Florida B.E.S.T. Standards.

Students can move at their own pace, revisiting earlier material on data distributions or probability rules whenever they need a refresher before a test or quiz. The practice problems provide immediate feedback, so students know right away where they need more work.

Aligned to Florida High School Statistics Curriculum

All StudyPug Statistics content is built to the Florida B.E.S.T. Standards, covering every strand from interpreting data displays and modeling with the normal distribution to applying probability rules and analyzing decisions using expected value. When the curriculum in the classroom changes emphasis, StudyPug content reflects the same sequence and vocabulary Florida students encounter in their courses.

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Written by the StudyPug Math Team

Last updated June 5, 2026

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