π Statistical Cycle Overview (Grades 10β12)
1. Posing Questions
Identify issues or problems in context that require data investigation
Formulate clear, relevant, and answerable statistical questions
Understand the purpose and target population of an investigation
2. Collecting Data
Population and Samples
Define population and sample
Understand representativity and bias
Differentiate between random and non-random samples
Data Types
Categorical (qualitative) vs. numerical (quantitative)
Discrete vs. continuous data
Primary vs. secondary data sources
Data Collection Methods
Surveys, interviews, questionnaires
Observation and measurements
Designing appropriate and unbiased questions
3. Organising and Representing Data
Tally Tables and Frequency Tables
Grouped and ungrouped data
Cumulative frequency tables
Data Displays (Charts and Graphs)
Bar graphs and double bar graphs
Histograms (for grouped data)
Pie charts
Line graphs
Broken line graphs (time-series)
Scatter plots (Grade 12)
Box-and-whisker plots (Grade 12)
Scale, Axis, and Labels
Appropriate use of intervals, titles, and units
4. Summarising Data (Measures of Central Tendency and Spread)
Measures of Central Tendency
Mean, median, and mode (Grade 10β12)
Compare and interpret differences between them
Measures of Spread
Range (Grade 10β12)
Interquartile range (IQR) and box plots (Grade 12)
Identification of outliers
Interpretation
Commenting on distribution (e.g., skewness, consistency)
Suitability of measures in context
5. Interpreting, Analysing, and Reporting Data
Reading and Interpreting Graphs and Tables
Identify trends and patterns
Make comparisons between groups
Read off values accurately
Critically Evaluating Data
Assess validity, reliability, and bias in data and sources
Interpret misleading graphs or data representations
Drawing Conclusions
Use data to support decisions or claims
Evaluate appropriateness of conclusions in context
Reporting
Use clear, relevant statistical language
Summarise findings based on evidence
Progression Across Grades
Grade 10: Introduction to the statistical cycle, basic representations, and calculations.
Grade 11: Greater focus on grouped data, graphs, critical thinking, and data interpretation.
Grade 12: Advanced summaries, box-and-whisker plots, scatter plots, correlation, and more critical evaluation of data and reports.
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