Public learning track
Univariate Data: Visual Displays, Frequency Distributions, and Ogives
10th Grade · Math · Open Global Math
8 lessons
Goal
Construct and interpret visual representations of quantitative data including histograms, dot plots, box plots, and cumulative frequency curves.
Featured Diagrams
Constructing and Interpreting Dot Plots and Stem-and-Leaf Displays
8 lessons
0 of 8 done
- 1Constructing and Interpreting Dot Plots and Stem-and-Leaf DisplaysUp nextStart
- 2Constructing Histograms with Equal Class IntervalsPremiumNot started yet
- 3Histograms: Frequency Density and Unequal Class WidthsNot started yet
- 4Cumulative Frequency Tables and Constructing OgivesNot started yet
- 5Estimating Quantiles and Percentiles from Cumulative Frequency CurvesNot started yet
- 6Constructing Five-Number Summaries and Box-and-Whisker PlotsNot started yet
- 7Detecting Outliers Using the 1.5 × IQR CriterionNot started yet
- 8Comparing Parallel Box Plots and Distribution ShapesNot started yet
Curriculum Framework
10th Grade · Math · Open Global Math
1
8 lessons
Univariate Data: Visual Displays, Frequency Distributions, and Ogives
Construct and interpret visual representations of quantitative data including histograms, dot plots, box plots, and cumulative frequency curves.
2
7 lessons
Univariate Data: Measures of Center, Dispersion, and Linear Transformations
Calculate and interpret central tendency and spread parameters for populations and samples, analyzing the effects of linear data transformations.
3
7 lessons
Combinatorics, Sample Spaces, and Theoretical Probability
Apply the fundamental counting principle, permutations, combinations, and sample space models to compute exact probabilities.
4
7 lessons
Compound Probability, Conditional Events, and Risk Analysis
Solve multi-event probability problems using Venn diagrams, tree diagrams, two-way tables, conditional formulas, and risk metrics.
5
9 lessons
Discrete Random Variables and Binomial Probability Models
Define discrete probability mass functions, compute expected values and variances, and model Bernoulli/Binomial processes.
6
8 lessons
Continuous Random Variables and the Normal Distribution
Analyze the normal distribution curve, compute z-scores, and calculate probabilities and percentiles using the standard normal model.
7
7 lessons
Bivariate Quantitative Data: Scatter Plots and Linear Regression
Analyze bivariate relationships, fit least-squares regression lines, interpret correlation coefficients, and examine residuals.
8
7 lessons
Correlation vs. Causation, Media Literacy, and Inferential Reasoning
Critique statistical claims in media, differentiate correlation from causation, and evaluate sampling designs and inferential validity.