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Unformatted text preview: Frequency Distributions A. Bourhim Syracuse University MAT121Fall 2011 A. Bourhim (Syracuse University) Frequency Distributions MAT121Fall 2011 1 / 13 Frequency Distributions When working with large data sets, it is often helpful to organize and summarize the data by constructing a table (called a frequency distribution) that lists the different possible data values (either individually or by groups or intervals) along with the corresponding frequencies, which represent the number of times those values occur. Such table helps us understand the nature of the distribution of a data set. Objectives 1 Present a frequency table. 2 Construct a frequency table. 3 Construct a relative frequency table. 4 Construct a cumulative frequency table. Reasons for construction frequency table 1 Large data sets can be summarized. 2 We can analyze the nature of data. 3 We have a basis for constructing important graphs. A. Bourhim (Syracuse University) Frequency Distributions MAT121Fall 2011 2 / 13 Frequency table Consider the following table of 120 scores of an exam. Class Frequency 0110 2 1120 3 2130 1 3140 4 4150 2 5160 7 6170 14 7180 23 8190 43 91100 21 SUM= 120 This table is called a frequency table (or frequency distribution) Remark sample size=sum of all frequencies=120 A. Bourhim (Syracuse University) Frequency Distributions MAT121Fall 2011 3 / 13 Relative Frequency table...
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This note was uploaded on 10/06/2011 for the course MAT 121 taught by Professor Quinn during the Fall '08 term at Syracuse.
 Fall '08
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