STAT 301 Lecture 4: STAT 301 Lecture 4
Document Summary
Histogram: a histogram displays the distribution of a quantitative variable. It looks a lot like a bar chart, but there are some important differences: bar charts are for categorical data, and histograms are for quantitative, the number of bins on a histogram is arbitrary. If you choose to use more bins, the bin size will be smaller. Box plot: boxplots are used to display the distribution of a quantative variable. Like a histogram, boxplots help us determine the shape of a distribution and identify possible outliers. If there are outliers, they are drawn as dots beyond the whiskers: can be displayed horizontally or vertically, the whiskers extend to either the min/max or the furthest non-outlier. Outliers: outliers are data points that are located far away from the majority of the data. An outlier is usually a data point that you should look closer at. Improperly entered data: measurement error, accurate observations that are just unusual.
