{"title":"描述性统计:理解数据。","authors":"A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts","doi":"10.1079/9781845932756.0009","DOIUrl":null,"url":null,"abstract":"Abstract\n To adequately monitor and manage natural resources, such as forests and rangelands, many very large data sets are compiled. In this light, the chapter explores the tools used to make data sets more comprehensible. By organizing variables into tables, charts and graphs, and by calculating numbers that best describe the characteristics of a variable of interest, managers can quickly get information about the natural resources for which they are responsible.","PeriodicalId":413890,"journal":{"name":"Introductory probability and statistics: applications for forestry and natural sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Descriptive statistics: making sense of data.\",\"authors\":\"A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts\",\"doi\":\"10.1079/9781845932756.0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract\\n To adequately monitor and manage natural resources, such as forests and rangelands, many very large data sets are compiled. In this light, the chapter explores the tools used to make data sets more comprehensible. By organizing variables into tables, charts and graphs, and by calculating numbers that best describe the characteristics of a variable of interest, managers can quickly get information about the natural resources for which they are responsible.\",\"PeriodicalId\":413890,\"journal\":{\"name\":\"Introductory probability and statistics: applications for forestry and natural sciences\",\"volume\":\"14 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/10.1079/9781845932756.0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Introductory probability and statistics: applications for forestry and natural sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781845932756.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract
To adequately monitor and manage natural resources, such as forests and rangelands, many very large data sets are compiled. In this light, the chapter explores the tools used to make data sets more comprehensible. By organizing variables into tables, charts and graphs, and by calculating numbers that best describe the characteristics of a variable of interest, managers can quickly get information about the natural resources for which they are responsible.
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