Open Menu
Close Menu
WRK
AI
Standards
Login
Sign up
WRK
AI
AI Tools
Files
Pricing
Login
Sign up
← All standards
/
Open Global Math Standards 2026™
OGM.13.STA
Open Global Math Standards 2026™ · 12th Grade
Advanced Data Analysis, Univariate & Bivariate Statistics, and Modeling
Grade
12th Grade
Subject
Math
Level
strand
Child standards (5)
OGM.13.STA.1
Represent and interpret single-variable data using dot plots, box plots, and histograms (where area represents frequency); compute and interpret measures of center (mean, median), position (percentiles, quartiles), and dispersion (IQR, variance, standard deviation) from raw and summary statistics.
OGM.13.STA.2
Identify, analyze, and handle outliers and anomalies in datasets; clean data with missing values, and evaluate the effect of extreme values on distribution shape, center, spread, and presentation choices.
OGM.13.STA.3
Fit empirical data to a continuous Normal distribution $N(\mu, \sigma^2)$; use calculators, software, and standard normal $Z$-tables to estimate probabilities, percentiles, and population proportions, identifying distribution points of inflection and recognizing when normality assumptions fail.
OGM.13.STA.4
Summarize bivariate categorical data in two-way frequency tables; compute joint, marginal, and conditional relative frequencies; evaluate associations, trends, and independence between categorical variables.
OGM.13.STA.5
Represent quantitative bivariate data on scatter plots; fit linear, quadratic, and exponential models; compute and interpret Pearson's correlation coefficient $r$, slope, and intercept; assess model adequacy using residual plots; and rigorously distinguish correlation from causation.
Aligned learning resources
+
Create a personalized learning track
AI-tailored to this standard for your learner’s needs
Equivalent standards in other frameworks