Public learning track
Histograms, Circle Graphs, Box Plots, and Misleading Graphs
6th Grade · Math · Open Global Math
10 lessons
Goal
Construct and interpret histograms, circle graphs, and box-and-whisker plots, and critically detect misleading graphical distortions.
Featured Diagrams
Distinguishing Bar Charts from Histograms
10 lessons
0 of 10 done
- 1Distinguishing Bar Charts from HistogramsUp nextStart
- 2Constructing Histograms from Grouped Frequency TablesPremiumNot started yet
- 3Interpreting Data Distributions from HistogramsNot started yet
- 4Calculating Central Angles and Percentages for Circle GraphsNot started yet
- 5Constructing and Interpreting Circle GraphsNot started yet
- 6Finding the Five-Number Summary of a Data SetNot started yet
- 7Constructing Box-and-Whisker PlotsNot started yet
- 8Reading and Comparing Parallel Box PlotsNot started yet
- 9Identifying Misleading Graphs and Scale DistortionsNot started yet
- 10Redesigning Misleading Graphs for AccuracyNot started yet
Standards Covered
- OGM.7.SP.2Open Global Math Standards 2026™ · Math · Level 7 / Grade 6 (Age 11) · Grade 6Display numerical and categorical data using dot plots, stem-and-leaf plots, bar charts, histograms, pie charts (circle graphs), line graphs, and box-and-whisker plots; interpret graphical components and detect misleading features (scale distortions, omitted axes).
- OGM.7.SP.3Open Global Math Standards 2026™ · Math · Level 7 / Grade 6 (Age 11) · Grade 6Calculate and interpret measures of center (mean, median, mode) and measures of variation/spread (range, interquartile range [IQR], mean absolute deviation [MAD]); summarize data distributions in terms of shape (skewness, symmetry), clusters, gaps, and outliers in relation to context.
Curriculum Framework
6th Grade · Math · Open Global Math
1
10 lessons
Statistical Questions, Sampling, and Data Organization
Formulate statistical questions, compare census and sampling methods, collect categorical and numerical data, and organize information into frequency tables with grouped intervals.
2
8 lessons
Data Displays: Dot Plots, Stem Plots, and Line Graphs
Construct and interpret dot plots, ordered stem-and-leaf plots, bar charts, and line graphs to display and analyze single-variable and time-series data.
3
10 lessons
Histograms, Circle Graphs, Box Plots, and Misleading Graphs
Construct and interpret histograms, circle graphs, and box-and-whisker plots, and critically detect misleading graphical distortions.
4
9 lessons
Measures of Center and Distribution Shape
Calculate and interpret the mean, median, and mode, evaluate the effect of outliers and skewness, and describe distribution symmetry, clusters, and gaps.
5
10 lessons
Measures of Variability: Range, Interquartile Range, and MAD
Calculate and interpret measures of spread including the range, interquartile range (IQR), and mean absolute deviation (MAD), comparing data sets comprehensively.
6
9 lessons
Theoretical Probability and Sample Spaces
Quantify probability between 0 and 1, calculate theoretical probabilities of simple and compound events, and construct sample spaces using lists, grids, and tree diagrams.
7
9 lessons
Experimental Probability, Simulations, and the Law of Large Numbers
Conduct empirical trials and digital simulations, calculate relative frequencies, compare experimental results with theoretical models, and explain the law of large numbers.