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Unformatted text preview: 1 Chapter 2: Charts and Graphs Sada Soorapanth Spring 2010 2 Learning Objectives Recognize the difference between grouped and ungrouped data Construct a frequency distribution Introduce a histogram, a frequency polygon, an ogive, a pie chart, a stem and leaf plot, a Pareto chart, and a scatter plot 3 Ungrouped Versus Grouped Data Ungrouped data have not been summarized in any way are also called raw data Grouped data have been organized into a frequency distribution 4 Frequency distribution of quantitative data A summary of data in the form of classes (intervals) and frequencies Steps to construct a frequency distribution 1. Determine the number of classes (515 classes) 2. Calculate the class width Class width = (Largest data valueSmallest data value) Number of classes 5 Steps to construct a frequency distribution (cont.) 3. Select class limits (i.e. start and end values of a class); The first class must start at a value equal to or lower than the lowest value of data. The last class must end at a value equal to or higher than the highest number of data. For any class, the class limits must be selected so that there is no overlap between classes. 4. Compute the frequency for each class (i.e. # data points that belong to each class) 6 Example: Frequency distribution Yearend audit times (in days) 12 14 19 18 15 15 18 17 20 27 22 23 22 21 33 28 14 18 16 13 Data show the time in days required to complete yearend audits for a sample of 20 clients of a small public accounting firm....
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This note was uploaded on 09/10/2011 for the course DS 212 taught by Professor Saltzman during the Spring '08 term at S.F. State.
 Spring '08
 Saltzman

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