BMGT 230 Chapter 3: BMGT230 – Chapter 3 Textbook Notes

• School: University of Maryland
• Department: Business and Management
• Course: BMGT 230
• Professor: Radu Lazar

Document Summary

Bmgt230 textbook notes chapter 3 displaying and describing quantitative data. Histogram plots the bin counts as the heights of bars: unlike a bar chart, there are no gaps between bars to separate the categories. Gaps indicate a region where there are no values: for categorical values, each category has its own bar, for quantitative variables, we have to choose the width of the bins. Relative frequency histogram reports the percentage of cases in each bin: relative frequency histogram is faithful to the area principle by displaying the percentage of cases in each bin instead of the count. Qualitative data condition: the data must be values of a quantitative variable whose units are known. When you describe a distribution, you should pay attentio(cid:374) to three thi(cid:374)gs: it"s shape, its center, and its spread. We des(cid:272)ri(cid:271)e the shape of a distri(cid:271)utio(cid:374) i(cid:374) ter(cid:373)s of its (cid:373)odels, it"s sy(cid:373)(cid:373)etry, a(cid:374)d whether it has any gaps or outlying values.