Public learning track
Chance Experiments, Outcomes, and Sample Spaces
5th Grade · Math · Open Global Math
6 lessons
Goal
Conduct chance experiments, list full sample spaces using organized lists and tree diagrams, and compute theoretical probabilities.
Featured Diagrams
Listing Possible Outcomes of Chance Experiments
6 lessons
0 of 6 done
- 1Listing Possible Outcomes of Chance ExperimentsUp nextStart
- 2Distinguishing Between Equally Likely and Non-Equally Likely OutcomesPremiumNot started yet
- 3Constructing Systematic Lists and Sample Space GridsNot started yet
- 4Constructing Tree Diagrams for Two-Stage Chance ExperimentsNot started yet
- 5Calculating Theoretical Probabilities as Fractions, Decimals, and PercentsNot started yet
- 6Calculating Probabilities of Complementary EventsNot started yet
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.