Histogramming-ECO6416 - Histogramming: Checking for...

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Histogramming: Checking for Homogeneity of Population A histogram is a graphical presentation of an estimate for the density (for continuous random variables ) or probability mass function (for discrete random variables) of the population. The geometric feature of histogram enables us to find out useful information about the data, such as: 1. The location of the “center" of the data. 2. The degree of dispersion. 3. The extent to which it is skewed, that is, it does not fall off systemically on both side of its peak. 4. The degree of peakedness. How steeply it rises and falls. The mode is the most frequently occurring value in a set of observations. Data may have two modes. In this case, we say the data are bimodal , and sets of observations with more than two modes are referred to as multimodal . Whenever, more than one mode exists, then the population from which the sample came is a mixture of more than one population. Almost all standard statistical analyses are conditioned on the assumption that the population is homogeneous,
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This note was uploaded on 10/03/2011 for the course ECO 6416 taught by Professor Staff during the Spring '08 term at University of Central Florida.

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Histogramming-ECO6416 - Histogramming: Checking for...

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