Public learning track
Univariate Data: Center, Position, Dispersion, and Distributions
11th Grade · Math · Open Global Math
9 lessons
Goal
Analyze univariate quantitative data by calculating and interpreting measures of central tendency, position, dispersion, and evaluating frequency distributions.
Featured Diagrams
Measures of Central Tendency: Mean, Median and Mode
9 lessons
0 of 9 done
- 1Measures of Central Tendency: Mean, Median and ModeUp nextStart
- 2Calculating Weighted and Trimmed MeansPremiumNot started yet
- 3Measures of Position: Quartiles, Deciles, and PercentilesNot started yet
- 4Using Ogives to Find Median, Quartiles and PercentilesNot started yet
- 5Interquartile Range and Outlier DetectionNot started yet
- 6Calculating Variance and Standard DeviationNot started yet
- 7Using Technology to Calculate Standard DeviationNot started yet
- 8Evaluating Distribution Shape, Skewness, and ModalityNot started yet
- 9Comparing Distributions Using Measures of DispersionNot started yet
Curriculum Framework
11th Grade · Math · Open Global Math
1
9 lessons
Univariate Data: Center, Position, Dispersion, and Distributions
Analyze univariate quantitative data by calculating and interpreting measures of central tendency, position, dispersion, and evaluating frequency distributions.
2
7 lessons
Bivariate Association: Covariance and Correlation Analysis
Quantify, interpret, and evaluate bivariate numerical associations using scatter plots, sample covariance, and Pearson's correlation coefficient.
3
7 lessons
Combinatorics and Counting Techniques
Master counting principles, permutations, and combinations to quantify outcomes in complex multi-stage probabilistic systems.
4
7 lessons
Foundations of Probability, Sample Spaces, and Compound Events
Construct formal sample spaces and calculate probabilities for simple, complementary, mutually exclusive, and compound events.
5
7 lessons
Conditional Probability, Tree Diagrams, and Bayes' Theorem
Evaluate conditional probabilities, test for statistical independence, and compute revised probabilities using the Law of Total Probability and Bayes' Theorem.
6
7 lessons
Statistical Study Design and Random Sampling Methodologies
Design valid comparative experiments and representative random sampling protocols while mitigating bias and confounding variables.
7
7 lessons
Critiquing Media Claims, Statistical Fallacies, and Inferential Reasoning
Evaluate published reports, public opinion polling data, deceptive graphics, and common statistical fallacies to draw sound inferential conclusions.