Students classify variables as categorical, discrete numerical, or continuous numerical, calculate mean, median, mode, range, and interquartile range from raw data or simple frequency tables, and construct and interpret box plots using five-number summaries to compare centre, spread, skewness, and possible outliers. They construct and interpret histograms with appropriately scaled contiguous intervals, describe distributions by centre, spread, clusters, gaps, skewness, and possible outliers, and use scatterplots and lines of best fit to describe linear correlation and make cautious predictions, distinguishing association from causation and interpolation from extrapolation. They evaluate random, stratified, systematic, convenience, and voluntary-response sampling for undercoverage, nonresponse, self-selection, and other bias, distinguishing systematic bias from random sampling variation when generalizing from samples to populations.
On this page:
- Master skills like “Construct and interpret box plots”, “Construct and interpret histograms”, and “Evaluate sampling methods for bias” with unlimited, free practice problems
- Download (or modify) free worksheets on Data Analysis and Modelling you can use at home or in class with practice problems across all skills in this group including “Calculate measures of central tendency”, “Describe correlation in bivariate data”, “Calculate range and interquartile range”.
- Start working on adaptive units like “Probability and Statistics - Quartiles and Box Plots - Intro” or “Data and Graphs (Scatter Plots) - Intro” that include these skills and will introduce and scaffold the skills carefully for maximum learning.
Data Analysis and Modelling: Individual Skills
Master 8 individual skills with free practice problems. Mouseover to see the skill's practice problems. Create a free account to track your progress.
Your results
- Calculate measures of central tendency
- Calculate range and interquartile range
- Construct and interpret box plots
- Construct and interpret histograms
- Describe correlation in bivariate data
- Distinguish categorical, discrete, and continuous data
- Evaluate sampling methods for bias
- Use a line of best fit to make predictions
Practice 'Calculate measures of central tendency'
Select any skill in this group by hovering over the list above. Unlimited free practice problems, automatically graded.
Hover a skill above to start practicing.
Download/Modify Free Grade 10 'Data Analysis and Modelling' Worksheet
Print this free 'Data Analysis and Modelling' worksheet to practice these skills away from the computer. Click 'Modify' to easily customize this worksheet to your exact needs.
This Worksheet Includes:
- Calculate measures of central tendency
- Calculate range and interquartile range
- Construct and interpret box plots
- Construct and interpret histograms
- Describe correlation in bivariate data
- Distinguish categorical, discrete, and continuous data
- Evaluate sampling methods for bias
- Use a line of best fit to make predictions
Units Teaching These Skills
These adaptive units introduce, teach, or reinforce skills in this group (Data Analysis and Modelling) through scaffolded problems that grow in difficulty as concepts are understood.