{"title":"Goodness-of-fit and test for independence: testing distributions.","authors":"A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts","doi":"10.1079/9781845932756.0201","DOIUrl":null,"url":null,"abstract":"Abstract\n This chapter introduces tests concerning distributions of one or more populations by using data from a large sawmill. The goodness-of-fit test is used to determine whether a population follows a specified theoretical distribution, and the test for independence (or a contingency table) is used to compare two or more distributions.","PeriodicalId":413890,"journal":{"name":"Introductory probability and statistics: applications for forestry and natural sciences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Introductory probability and statistics: applications for forestry and natural sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781845932756.0201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract
This chapter introduces tests concerning distributions of one or more populations by using data from a large sawmill. The goodness-of-fit test is used to determine whether a population follows a specified theoretical distribution, and the test for independence (or a contingency table) is used to compare two or more distributions.