Public learning track
Statistical Questions, Sampling, and Data Organization
6th Grade · Math · Open Global Math
10 lessons
Goal
Formulate statistical questions, compare census and sampling methods, collect categorical and numerical data, and organize information into frequency tables with grouped intervals.
Featured Diagrams
Identifying Statistical Questions That Anticipate Variability
10 lessons
0 of 10 done
- 1Identifying Statistical Questions That Anticipate VariabilityUp nextStart
- 2Writing and Refining Statistical Investigation QuestionsPremiumNot started yet
- 3Distinguishing Populations from SamplesNot started yet
- 4Comparing Census Surveys and Sample SurveysNot started yet
- 5Identifying Representative and Biased Sampling MethodsNot started yet
- 6Distinguishing Categorical and Numerical DataNot started yet
- 7Organizing Categorical Data into Frequency TablesNot started yet
- 8Constructing Two-Way Frequency Tables from DataNot started yet
- 9Creating Equal Class Intervals for Continuous Numerical DataNot started yet
- 10Organizing Raw Numerical Data into Grouped Frequency TablesNot started yet
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.