Shape: ****Describes how data are distrubuted

Outlier: a data point that does not fit with the rest of the data; can be caused by errors / poor data collection

Identifying outliers:

• Lower Limit: LL = Q1 - 1.5(IQR)
• Upper Limit: UL = Q3 + 1.5(IQR)
• LL < Outlier or Outlier > UL

Outlier impacts:

5-number summary: {Min, Q1, M, Q3, Max}

Box Plot: A graphical display of data using the 5-number summary

1. Draw a box witht he edges drawn at Q1 and Q3. The median is shown in the box by a line.
2. Calculate L and UL and identify any outliers. Lines are drawn from each box edge to the most extreme non-outliers.
3. Any outliers are added as stars

• botplox(dataset) → yields a botplox in R