BMGT 230 Chapter Notes - Chapter 5: Bar Chart, Unimodality, Data Point
2 Mar 2015
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Continuous data- may take on any value in some interval. Summarized in a grouped data frequency table. A manufacturer of insulation randomly selects 20 winter days and records the daily high temperature. (1) determine the number of categories (classes/bins) May yield a very jagged distribution with gaps from empty classes. Can give a poor indication of how frequency varies across classes. May compress variation too much and yield a blocky distribution. Minimum width is the range of the data. Largest data point - smallest data point = range. Can typically be reduced as the number of observations increases. Distributions with numerous observations are more likely to be smooth and have gaps filled since data are plentiful. (4) determine the frequency in each class. Count the number of data points in each category. The goal is to create a distribution that is neither too. You want to appropriately show the pattern of variation.
