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Research On Variable Database Datagroup Purchase Man’s Suit

Posted on:2016-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:D J WuFull Text:PDF
GTID:2309330467457419Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
Group purchase clothing as a mode of consumption has been widely accepted by consumersand very popular in the society.In recent years, with the increasing of clothing aesthetic andstrengthening of self cognition,People have new standards on various aspects of group purchaseclothing, clothing of moderate fit performance, practical function and the aesthetic effect of theincreasingly high demand, so there are higher requirements on the clothing design, pattern,grading and production.XP(because of the enterprise to be confidential,where XP is a clothing enterprise code)garment enterprises Garment Co.Ltd,group purchase clothing size range is numerous,but notactual,so it causes some problem in grading and production, which means it is necessary to usemathematical statistics through a reasonable method of the database variables to explore thecorrelation between characteristics and the variables,to adjust the current clothing databasegarment size series,so that the garment size series better scientific and reasonable utility.Withoutincreasing the size or amount of adding the plus sign, greatly improve the type of coverage, butto achieve less volume, and achieve less volume,large size the coverage effect. Therefore, it isnecessary to research on a well-known domestic garment enterprises service database using theconventional method of SPSS data mining to analysis the factor screening study the observationand analysis of a well-known domestic garment enterprises between clothing database variablesby using the method of mathematical statistics, to explore the relationship between variables,through cross list to observe the distribution of the variable data. Whether to obey the normaldistribution; the scatter plot between observed variables are significant judgment and related,make linear regression, and the observation variables by factor analysis to find the contributionof variables to provide valuable reference information for industrial production.
Keywords/Search Tags:Group purchase suit, database, SPSS analysis, variables
PDF Full Text Request
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