NY High School Statistics Curriculum
Give your teen the support they need to succeed in New York high school Statistics, with lessons and practice problems covering every strand from data analysis to probability and inference.
About High School New York Statistics
New York follows the New York Next Generation Math Standards, organizing high school Statistics around interpreting data, drawing inferences, and understanding probability. This course covers data distributions and data analysis, bivariate data and correlation, statistical inference using sampling and simulation, probability rules including conditional probability and independence, and random variables with expected value. StudyPug provides video lessons and practice problems for every one of these strands, matched to what students work on in New York classrooms.
- Strands: data distributions, bivariate data and correlation, statistical inference, probability rules, and random variables
- Video lessons covering every concept from dot plots and normal distributions to permutations and expected value
- Practice problems with step-by-step solutions aligned to New York Next Generation Math Standards
- Topic-by-topic coverage so students can target exactly what they need help with
Curriculum topics by strand
Browse lessons and practice problems by strand, aligned to the New York Next Generation Math Standards for high school Statistics.
NY High School Statistics Topics
- Data distributions: representing data with dot plots, histograms, and box plots; comparing center and spread using mean, median, interquartile range, and standard deviation; interpreting shape and outliers.
- Normal distributions and frequency tables: fitting data to a normal distribution, estimating population percentages, and summarizing categorical data in two-way frequency tables with joint, marginal, and conditional relative frequencies.
- Bivariate data and correlation: scatter plots for two quantitative variables, computing and interpreting correlation coefficients, and distinguishing between correlation and causation.
- Statistical inference: understanding sampling and simulation, estimating population means and proportions, developing margins of error, comparing two treatments from randomized experiments, and evaluating data reports.
- Probability rules: independent events, conditional probability, two-way tables as sample spaces, the Addition Rule, the general Multiplication Rule, and permutations and combinations for compound events.
- Random variables and expected value: defining random variables, graphing probability distributions, calculating expected value from theoretical and empirical distributions, and using probability to analyze decisions and strategies.
How StudyPug Helps NY High School Statistics Students
When a student gets stuck on a concept like the difference between correlation and causation, or how to apply the general Multiplication Rule, they can pull up the matching video lesson, watch a worked example, and then try practice problems with instant feedback. Every topic in the New York high school Statistics course has its own lesson so students are never left searching for help.
Students can move through strands in any order, which makes StudyPug useful both for keeping up with class week to week and for reviewing before a test. Step-by-step solutions show exactly where a mistake happened, not just whether the answer was right or wrong.
Aligned to NY High School Statistics Curriculum
Every lesson and practice problem on StudyPug for this course maps to the New York Next Generation Math Standards for high school Statistics. The content covers the same strands - data distributions, bivariate analysis, statistical inference, probability, and random variables - that New York teachers are required to teach, so nothing studied on StudyPug is off-topic for class.
Written by the StudyPug Math Team
Last updated June 5, 2026
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