FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4304194911> ?p ?o ?g. }

• W4304194911 endingPage "58" @default.
• W4304194911 startingPage "41" @default.
• W4304194911 abstract "Statistics is basically a way of thinking about data that are variable. More specifically, statistics is a collection of methods for planning/designing studies or experiments, collecting/obtaining data and then organizing, presenting, analysing, interpreting and drawing conclusions. It is the science of learning from data. Statistical methods help in making rational and correct decisions in the face of variability and uncertainty. In fisheries science, where the information is both limited and varied, statistical tools are indispensable. To begin with, one should know about the data generated during the experiment/study, its distribution and its analysis to draw a valid conclusion from the experiment. Statistical methods can broadly be classified into two branches: descriptive statistics and inferential statistics. Descriptive statistics summarize a collection of data in a clear and understandable way by means of numerical (e.g. measures of central tendency and dispersion) and graphical (e.g. stem and leaf display, box plot, bar, histogram, etc.) approaches. Inferential statistics is generalizing from samples to populations using probabilities and includes testing of hypothesis (null hypothesis is put forward, and it is determined whether the data are strong enough to reject or accept it), point estimation (the sample is used to estimate a parameter) and interval estimation (confidence interval about the estimate is constructed). Descriptive and inferential statistics are interrelated. It is almost always necessary to use methods of descriptive statistics, to organize and summarize the information obtained from a sample before methods of inferential statistics can be used to make more thorough analysis of the subject under investigation. Furthermore, the preliminary descriptive analysis of a sample often reveals features that lead to the choice of the appropriate inferential method to be used later. Acquiring such skills forms an integral part of every discipline today. Generally, biologists keep themselves away from statistics, but they must know some basics of statistics that are essential for proper planning of experiments or studies, collecting, modelling/analysing data correctly and presenting/communicating their results appropriately. This chapter describes the basics of frequently used descriptive statistics." @default.
• W4304194911 created "2022-10-11" @default.
• W4304194911 creator A5025510651 @default.
• W4304194911 creator A5033043495 @default.
• W4304194911 creator A5060027507 @default.
• W4304194911 creator A5071279660 @default.
• W4304194911 creator A5077197840 @default.
• W4304194911 creator A5077538146 @default.
• W4304194911 date "2022-10-12" @default.
• W4304194911 modified "2023-09-24" @default.
• W4304194911 title "Descriptive Statistics for Inland Fisheries Data" @default.
• W4304194911 doi "https://doi.org/10.1007/978-981-19-4411-6_3" @default.
• W4304194911 hasPublicationYear "2022" @default.
• W4304194911 type Work @default.
• W4304194911 citedByCount "0" @default.
• W4304194911 crossrefType "book-chapter" @default.
• W4304194911 hasAuthorship W4304194911A5025510651 @default.
• W4304194911 hasAuthorship W4304194911A5033043495 @default.
• W4304194911 hasAuthorship W4304194911A5060027507 @default.
• W4304194911 hasAuthorship W4304194911A5071279660 @default.
• W4304194911 hasAuthorship W4304194911A5077197840 @default.
• W4304194911 hasAuthorship W4304194911A5077538146 @default.
• W4304194911 hasConcept C105795698 @default.
• W4304194911 hasConcept C129848803 @default.
• W4304194911 hasConcept C133462117 @default.
• W4304194911 hasConcept C134261354 @default.
• W4304194911 hasConcept C185592680 @default.
• W4304194911 hasConcept C191988596 @default.
• W4304194911 hasConcept C198531522 @default.
• W4304194911 hasConcept C33923547 @default.
• W4304194911 hasConcept C39896193 @default.
• W4304194911 hasConcept C41008148 @default.
• W4304194911 hasConcept C43617362 @default.
• W4304194911 hasConcept C61122496 @default.
• W4304194911 hasConcept C87007009 @default.
• W4304194911 hasConcept C92560755 @default.
• W4304194911 hasConceptScore W4304194911C105795698 @default.
• W4304194911 hasConceptScore W4304194911C129848803 @default.
• W4304194911 hasConceptScore W4304194911C133462117 @default.
• W4304194911 hasConceptScore W4304194911C134261354 @default.
• W4304194911 hasConceptScore W4304194911C185592680 @default.
• W4304194911 hasConceptScore W4304194911C191988596 @default.
• W4304194911 hasConceptScore W4304194911C198531522 @default.
• W4304194911 hasConceptScore W4304194911C33923547 @default.
• W4304194911 hasConceptScore W4304194911C39896193 @default.
• W4304194911 hasConceptScore W4304194911C41008148 @default.
• W4304194911 hasConceptScore W4304194911C43617362 @default.
• W4304194911 hasConceptScore W4304194911C61122496 @default.
• W4304194911 hasConceptScore W4304194911C87007009 @default.
• W4304194911 hasConceptScore W4304194911C92560755 @default.
• W4304194911 hasLocation W43041949111 @default.
• W4304194911 hasOpenAccess W4304194911 @default.
• W4304194911 hasPrimaryLocation W43041949111 @default.
• W4304194911 hasRelatedWork W2058954365 @default.
• W4304194911 hasRelatedWork W2114466858 @default.
• W4304194911 hasRelatedWork W2144631440 @default.
• W4304194911 hasRelatedWork W2472737233 @default.
• W4304194911 hasRelatedWork W2701784279 @default.
• W4304194911 hasRelatedWork W2753031227 @default.
• W4304194911 hasRelatedWork W3045025409 @default.
• W4304194911 hasRelatedWork W379901265 @default.
• W4304194911 hasRelatedWork W4249134507 @default.
• W4304194911 hasRelatedWork W4304194911 @default.
• W4304194911 isParatext "false" @default.
• W4304194911 isRetracted "false" @default.
• W4304194911 workType "book-chapter" @default.