Data presentation and interpretation:
display categorical data in tables and column graphs
(ACMEM045)
display numerical data as frequency distributions, dot plots, stem and leaf plots, and histograms
(ACMEM046)
compare the suitability of different methods of data presentation in real-world contexts.
(ACMEM048)
Summarising and interpreting data:
calculate measures of central tendency, the arithmetic mean and the median
(ACMEM050)
investigate the suitability of measures of central tendency in various real-world contexts
(ACMEM051)
investigate the effect of outliers on the mean and the median
(ACMEM052)
calculate and interpret quartiles, deciles and percentiles
(ACMEM053)
use informal ways of describing spread, such as spread out/dispersed, tightly packed, clusters, gaps, more/less dense regions, outliers
(ACMEM054)
calculate and interpret statistical measures of spread, such as the range, interquartile range and standard deviation
(ACMEM055)
investigate real-world examples from the media illustrating inappropriate uses, or misuses, of measures of central tendency and spread.
(ACMEM056)
Comparing data sets:
compare back-to-back stem plots for different data-sets
(ACMEM057)
complete a five number summary for different datasets
(ACMEM058)
construct box plots using a five number summary
(ACMEM059)
compare the characteristics of the shape of histograms using symmetry, skewness and bimodality.
(ACMEM060)