Measures of Spread and Central Tendency
Students calculate mean, median, mode, variance, and standard deviation for one-variable data. They use these measures to compare different datasets.
About This Topic
Students calculate mean, median, mode, variance, and standard deviation for one-variable data. They use these measures to compare different datasets.
Key Questions
- Which measure of central tendency is best for skewed data?
- What does standard deviation reveal about data consistency?
- How do quartiles help in identifying outliers?
Active Learning Ideas
See all activities→Activities & Teaching Strategies
See all activities
Planning templates for Mathematics of Data Management
5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
Unit PlannerMath Unit
Plan a multi-week math unit with conceptual coherence: from building number sense and procedural fluency to applying skills in context and developing mathematical reasoning across a connected sequence of lessons.
RubricMath Rubric
Build a math rubric that assesses problem-solving, mathematical reasoning, and communication alongside procedural accuracy, giving students feedback on how they think, not just whether they got the right answer.
More in Organization of Data for Analysis
Sampling Techniques and Data Collection
Students learn various sampling techniques such as simple random, stratified, and cluster sampling. They design effective surveys to collect primary data.
8 methodologies
Bias in Surveys and Experiments
Students identify and analyze different types of bias in data collection, including response, non-response, and measurement bias. They evaluate the validity of published data.
8 methodologies
One-Variable Data Analysis
Students organize continuous and discrete data using frequency tables and histograms. They interpret the shape of data distributions.
8 methodologies