Public learning track
Sampling Methods, Bias, and Population Inferences
7th Grade · Math · Open Global Math
7 lessons
Goal
Understand how random sampling generates representative data, identify sources of bias, and use sample statistics to make valid inferences about population parameters.
Featured Diagrams
Populations, Samples, and Parameters versus Statistics
7 lessons
0 of 7 done
- 1Populations, Samples, and Parameters versus StatisticsUp nextStart
- 2Simple Random, Systematic, Stratified, and Cluster SamplingPremiumNot started yet
- 3Identifying Bias in Sampling and Survey QuestionsNot started yet
- 4Estimating Population Means from Random SamplesNot started yet
- 5Estimating Population Proportions from Sample DataNot started yet
- 6Simulating Sample Size Effects on Variability with TechnologyNot started yet
- 7Evaluating Claims and Sampling Variability in Real-World StudiesNot started yet
Curriculum Framework
7th Grade · Math · Open Global Math
1
7 lessons
Sampling Methods, Bias, and Population Inferences
Understand how random sampling generates representative data, identify sources of bias, and use sample statistics to make valid inferences about population parameters.
2
8 lessons
Organizing and Representing Numerical Data
Acquire, classify, organize, and construct accurate graphical representations of discrete and continuous numerical data sets.
3
7 lessons
Measures of Central Tendency and Distribution Symmetry
Calculate and interpret mean, weighted mean, median, and mode, and evaluate which center best represents skewed versus symmetric data sets.
4
6 lessons
Measures of Variability and Spread
Calculate and interpret measures of dispersion including range, interquartile range (IQR), mean absolute deviation (MAD), and sample variance.
5
6 lessons
Comparative Data Analysis and Population Inferences
Compare two numeric distributions visually and numerically, quantifying center separation as a multiple of variability to draw informal comparative inferences.
6
7 lessons
Theoretical Probability, Complements, and Simulations
Quantify likelihood between 0 and 1, calculate theoretical probabilities of simple events and complements, and verify the Law of Large Numbers through simulations.
7
8 lessons
Compound Probability, Tree Diagrams, and Counting Principles
Find probabilities of compound events using organized lists, two-way grids, tree diagrams, simulations, and the Fundamental Counting Principle.