Public learning track
Advanced Univariate Distributions and Summary Statistics
12th Grade · Math · Open Global Math
7 lessons
Goal
Represent, summarize, and interpret univariate datasets using graphical representations, measures of central tendency, position, and dispersion.
Featured Diagrams
Representing Univariate Data Using Dot Plots and Box Plots
7 lessons
0 of 7 done
- 1Representing Univariate Data Using Dot Plots and Box PlotsUp nextStart
- 2Interpreting Histograms with Unequal Class Intervals and Frequency DensityPremiumNot started yet
- 3Calculating Measures of Center from Raw and Grouped DataNot started yet
- 4Calculating Percentiles, Quartiles, and Interquartile RangeNot started yet
- 5Computing Population and Sample Variance and Standard DeviationNot started yet
- 6Linear Coding of Data: Effects on Mean and Standard DeviationNot started yet
- 7Comparing Distributions Using Cumulative Frequency Curves and OgivesNot started yet
Curriculum Framework
12th Grade · Math · Open Global Math
1
7 lessons
Advanced Univariate Distributions and Summary Statistics
Represent, summarize, and interpret univariate datasets using graphical representations, measures of central tendency, position, and dispersion.
2
6 lessons
Data Cleaning, Outlier Analysis, and Distributional Robustness
Identify anomalies, clean missing values, and evaluate the effect of extreme values on distribution metrics and reporting choices.
3
7 lessons
Continuous Normal Distributions and Probabilistic Modeling
Fit continuous normal distributions to empirical data, compute probabilities using Z-scores, and diagnose model validity.
4
6 lessons
Bivariate Categorical Data and Contingency Tables
Summarize bivariate categorical data, calculate joint, marginal, and conditional relative frequencies, and test for independence.
5
9 lessons
Bivariate Quantitative Modeling and Regression Analysis
Fit linear, quadratic, and exponential models to bivariate data, evaluate fit via residuals and correlation, and distinguish correlation from causation.