- MA5-DAT-C-01 compares and analyses datasets using summary statistics and graphical representations
📖 Prior Knowledge
| Content | Prerequisite relationships |
|---|---|
| Data Classification and Visualisation | - Represent data with a variety of graphs → Determine the five-number summary from a display |
| Data Analysis | - Calculate mean, median, mode and range → Calculate and compare standard deviation - Calculate mean, median, mode and range → Determine the 5-number summary - Describe the shape of a distribution → Identify skewness from displays |
Examine standard deviation as a measure of spread.pdf
- Identify standard deviation as a measure of spread
- Calculate the standard deviation of a small dataset using digital tools
- Compare small datasets using standard deviation
Determine quartiles and interquartile range.pdf
- Determine the 5-number summary for sets of numerical data
- Determine the 5-number summary from graphical representations
- Determine the interquartile range (IQR) for datasets
- Compare and explain the relative merits of range and IQR as measures of spread
Represent datasets using box plots and use them to compare datasets.pdf
- Represent numerical datasets using a box plot to display the median, upper and lower quartiles, and maximum and minimum values
- Compare 2 or more numerical datasets using parallel box plots drawn on the same scale
- Compare and contrast the centres, spreads and shapes of 2 or more numerical datasets, using box plots and numerical statistics, including the 5-number summary
- Determine quartiles from datasets displayed in histograms and dot plots, and represent these as a box plot
- Identify and describe skewness or symmetry of datasets displayed in histograms, dot plots and box plots
- Interpret box plots to draw conclusions and make inferences about the dataset