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Unformatted text preview: Sheet1 Page 1 AGENDA Chi-square goodness of fit test GOODNESS OF FIT TESTS Used to determine if a sample could have come from a distribution with the specified parameters Commonly used to determine if data is normally distributed Many tests such as the ones that we have been using require normally distributed data. If data is not normally distributed, non-parametric tests must be used (next subject in the course) Also used for input distributions in system modeling Customers or jobs arrive exponentially distributed? Service times follow what distribution? Failures occur according to what distribution? GOODNESS OF FIT TESTS Based on a comparison of observations between Observed data Theoretical data The comparison utilizes a set of intervals or cells Each cell has a lower and upper boundary values The determination of the boundaries are a function of Theoretical distribution Number of observations in the sample 2 different approaches& TWO DIFFERENT APPROACHES Approach 1 Used in the book Equal interval approach No cell grouping can have less than 5 expected observations Approach 2 Used in other books Equiprobable approach Maximum number of cells not to exceed 100 such that the expected number of observations is at least 5 = Int ( obs/5 )...
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This note was uploaded on 11/21/2010 for the course INDE 2333 taught by Professor Staff during the Fall '08 term at University of Houston.
- Fall '08