BMGT 230 Lecture Notes - Lecture 4: Box Plot, Interquartile Range, Squared Deviations From The Mean
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Histogram (relative frequency histogram): a histogram uses adjacent bars to show the distribution of values in a quantitative variable. Each bar represents the frequency (relative frequency) of values falling in an interval of values. Stem-and-leaf plot: a stem-and-leaf plot shows quantitative data values in a way that sketches the distribution of the data. Quantitative data condition: the data are values of a quantitative variable whose units are known. We describe the shape of a distribution in terms of its modes, its symmetry, and whether it has any gaps or outlying values, or spread. Mode: a peak or local high point in the shape of the distribution of a variable. Symmetry: a distribution is symmetric if the two halves on either side of the center look approximately like mirror images of each other: the thinner ends of a distribution are called the tails.