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

Yes. StudyPug covers every Statistics topic taught in New Mexico high schools, including data distributions, correlation, normal curves, and probability rules, so students can get unstuck on homework the same night it is assigned.

How long are the video lessons for High School Statistics?

Most video lessons run between 5 and 15 minutes, breaking down one concept at a time. Students can pause, rewind, and re-watch as often as needed, which makes reviewing topics like conditional probability or expected value much easier.

Is there a state test for High School Statistics in New Mexico?

New Mexico uses the NM-MSSA for statewide math assessment, but it targets earlier grade levels. High school Statistics students are not typically tested on NM-MSSA; end-of-course performance depends on school and district requirements.

Can my child use StudyPug on a tablet or phone?

Yes. StudyPug works on tablets, phones, and computers, so students can review scatter plots, probability distributions, and inference lessons at home, at school, or on the go without any extra software to install.

Can I try StudyPug before paying?

Yes. StudyPug offers free sample lessons so you can see the content before committing. Every paid plan also includes a 30-day money-back guarantee, so there is no risk in getting started.

NM High School Statistics Curriculum

Give your high schooler the support they need to succeed in Statistics. Our lessons and practice problems follow what New Mexico schools teach, from data analysis to probability.

NM 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 New Mexico Statistics

New Mexico follows the New Mexico Standards for high school Statistics. This course spans interpreting data distributions, comparing data sets, scatter plots and correlation, normal distributions, two-way frequency tables, statistical inference, probability rules, conditional probability, random variables, and expected value. StudyPug provides video lessons, step-by-step practice problems, and worked examples covering every strand in this course.

Data analysis, probability, statistical inference, and random variables
Video lessons for every Statistics topic in the New Mexico Standards
Step-by-step practice problems with worked examples and instant feedback
Content aligned to the New Mexico Standards for high school Statistics

Curriculum topics by strand

Lessons and practice for every strand, aligned to the New Mexico Standards for high school Statistics.

Topic includes:

Practice

Video

Quiz

Standard

StudyPug Topic

NM High School Statistics Topics

Displaying and interpreting data: Represent data using dot plots, histograms, and box plots; compare center and spread using median, mean, interquartile range, and standard deviation; interpret outliers and differences in shape.
Normal distributions and two-way tables: Fit data sets to a normal distribution using mean and standard deviation; estimate population percentages using the normal curve; summarize categorical data in two-way frequency tables and interpret joint, marginal, and conditional relative frequencies.
Scatter plots, correlation, and causation: Represent two quantitative variables on a scatter plot; compute and interpret the correlation coefficient; distinguish between correlation and causation.
Statistical inference and sampling: Understand statistics as an inference process; use sample surveys, experiments, and observational studies; estimate population means and proportions with margins of error; compare two treatments using randomized experiments and simulation.
Probability rules and conditional probability: Apply the Addition Rule and general Multiplication Rule; compute conditional probabilities; identify independent events; construct and interpret two-way tables as sample spaces.
Random variables and expected value: Define random variables; graph probability distributions; calculate expected value; weigh outcomes using probability to analyze decisions and strategies.

How StudyPug Helps NM High School Statistics Students

When a student gets stuck on a concept like the normal curve or conditional probability, StudyPug lets them watch a focused video lesson, work through practice problems at their own pace, and check step-by-step explanations until the idea clicks. Every topic in New Mexico high school Statistics is covered, so there is no gap between class and support.

Students preparing for end-of-course assessments or college-level math can build confidence by practicing permutations, combinations, and inference problems repeatedly, with instant feedback on each attempt.

Aligned to NM High School Statistics Curriculum

Every lesson and practice problem on StudyPug is built around the New Mexico Standards for high school Statistics, covering the same strands - data analysis, probability, and statistical inference - that students encounter in their New Mexico classrooms, so nothing taught in school is left out.

Ready to put your High School Math skills to the test?

Jump into practice questions for every NM High School Statistics topic - with instant feedback and step-by-step video solutions when you get stuck.

Start Practicing

Written by the StudyPug Math Team

Last updated June 5, 2026

3 M+

students

★★★★★

4.8 average

92%

improve grades