
Public learning track
Comparing and Evaluating Multiple Data Displays
5th Grade · Math · Open Global Math
4 lessons
Goal
Compare alternative representations of the same dataset, detect misleading features, and choose optimal graph types.
Featured Diagrams
Matching Identical Datasets Across Tables, Plots, and Charts
4 lessons
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- 1Matching Identical Datasets Across Tables, Plots, and ChartsUp nextStart
- 2Choosing the Best Graph Type for a Given Data ScenarioPremiumNot started yet
- 3Identifying Misleading Graphs and Distorted AxesNot started yet
- 4Drawing Evidence-Based Conclusions from Multi-Display ReportsNot started yet
Standards Covered
- OGM.6.DA.1Open Global Math Standards 2026™ · Math · Level 6 / Grade 5 (Age 10) · Grade 5Collect, organize, validate, and display nominal, ordinal, and discrete numerical data using tally charts, frequency tables, pictograms, bar graphs, double bar graphs, line plots (including fractional measurements in 1/2, 1/4, 1/8 units), and pie charts.
- OGM.6.DA.2Open Global Math Standards 2026™ · Math · Level 6 / Grade 5 (Age 10) · Grade 5Read, interpret, and draw conclusions from data presented in tables, timetables, line graphs representing continuous change over time, and compare different representations of the same dataset.
Curriculum Framework
5th Grade · Math · Open Global Math
1
7 lessons
Data Classification, Collection, and Frequency Tables
Classify data types, collect and organize categorical and numerical data, and construct structured frequency tables.
2
6 lessons
Pictograms, Bar Graphs, and Double Bar Graphs
Construct and interpret scaled pictograms, single bar graphs, and double bar graphs to compare categorical and discrete data.
3
6 lessons
Fractional Line Plots and Measurement Data
Measure real objects to fractional precisions, construct line plots in halves, fourths, and eighths, and solve redistributive fair-share problems.
4
5 lessons
Pie Charts and Proportional Reasoning
Interpret pie charts, calculate sector angles and percentages, and construct circle graphs from categorical datasets.
5
5 lessons
Interpreting Tables, Timetables, and Schedules
Extract, synthesize, and draw valid conclusions from complex tables, two-way tables, transit timetables, and schedules.
6
6 lessons
Continuous Time-Series and Rate of Change Graphs
Plot and interpret line graphs representing continuous physical phenomena over time, identifying trends and rates of change.
7
4 lessons
Comparing and Evaluating Multiple Data Displays
Compare alternative representations of the same dataset, detect misleading features, and choose optimal graph types.
8
7 lessons
Measures of Central Tendency: Mean, Median, and Mode
Calculate, interpret, and compare the mean, median, and mode as single-value summaries of data center.
9
5 lessons
Data Variability, Range, and Distribution Shapes
Quantify variability using range, describe symmetry and skewness of distributions, and compare two datasets side-by-side.
10
6 lessons
Chance Experiments, Outcomes, and Sample Spaces
Conduct chance experiments, list full sample spaces using organized lists and tree diagrams, and compute theoretical probabilities.
11
7 lessons
Experimental Probability and Relative Frequency
Conduct repeated probability trials, calculate relative frequencies, evaluate the Law of Large Numbers, and test predictive hypotheses.