Representation of data

Representing Data: Stem-and-Leaf, Box Plots, Histograms and Cumulative FrequencySign up

be able to construct and interpret stem-and-leaf diagrams and histograms (including histograms with unequal class widths, using frequency density = frequency / class width) · be able to construct and interpret cumulative-frequency diagrams and box plots, identify outliers using the 1.5 × IQR rule, and comment on skewness from a diagram

Measures of Central Tendency and Variation; Mean and SD from TotalsSign up

be able to calculate the mean, median, mode, range, and interquartile range (IQR) for raw and grouped data, and choose an appropriate measure of location and spread · be able to calculate the variance and standard deviation of raw and grouped data using Σ(x − x̄)²/n = Σx²/n − x̄²; understand coding (linear transformation) and its effect on mean and standard deviation