Public learning track
Statistical Investigations, Sampling Methods, and Bias
9th Grade · Math · Open Global Math
8 lessons
Goal
Design statistical investigations, analyze sampling techniques, detect bias in media, and infer population parameters from sample data.
Featured Diagrams
Statistical Inference: Populations, Parameters, Samples, and Statistics
8 lessons
0 of 8 done
- 1Statistical Inference: Populations, Parameters, Samples, and StatisticsUp nextStart
- 2Simple Random, Systematic, Stratified, and Cluster SamplingPremiumNot started yet
- 3Identifying Sampling Bias and Non-Sampling Bias in SurveysNot started yet
- 4Observational Studies Versus Randomized ExperimentsNot started yet
- 5Detecting Misleading Graphs and Statistical Representations in MediaNot started yet
- 6Inferring Population Means and Proportions from Sample StatisticsNot started yet
- 7Margin of Error and Informal Confidence IntervalsNot started yet
- 8Designing and Evaluating a Complete Statistical InvestigationNot started yet
Curriculum Framework
9th Grade · Math · Open Global Math
1
8 lessons
Statistical Investigations, Sampling Methods, and Bias
Design statistical investigations, analyze sampling techniques, detect bias in media, and infer population parameters from sample data.
2
8 lessons
Univariate Data: Measures of Center, Spread, and Displays
Compute and interpret central tendency and dispersion, and display single-variable numerical data using box plots, histograms, and stem plots.
3
8 lessons
Bivariate Data, Correlation, and Regression Modeling
Analyze bivariate data, calculate and interpret Pearson's r, fit linear, quadratic, and exponential models, and evaluate predictions.
4
9 lessons
Probability: Counting Principles and Compound Events
Calculate probabilities of simple and compound events using counting principles, tree diagrams, two-way tables, and probability rules.