M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen
{"title":"统计概率论导论","authors":"M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen","doi":"10.1093/oso/9780192897879.003.0003","DOIUrl":null,"url":null,"abstract":"This chapter introduces the basics of statistics and probability theory that will be used throughout the book. Specifically, it introduces the concepts behind descriptive statistics, including aspects of using visualization of means, medians, and modes, as well as distribution visualizations to understand your data for further analysis. It also introduces inferential statistics, specifically discussing t-tests and ANOVA, discussing the assumptions used for each of the tests and outputs. The chapter also includes labs where we use real game data to give you a practical understanding of how to apply these concepts and tests and how to interpret the meaning of the results you get from each test and method.","PeriodicalId":137223,"journal":{"name":"Game Data Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Introduction to Statistics and Probability Theory\",\"authors\":\"M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen\",\"doi\":\"10.1093/oso/9780192897879.003.0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter introduces the basics of statistics and probability theory that will be used throughout the book. Specifically, it introduces the concepts behind descriptive statistics, including aspects of using visualization of means, medians, and modes, as well as distribution visualizations to understand your data for further analysis. It also introduces inferential statistics, specifically discussing t-tests and ANOVA, discussing the assumptions used for each of the tests and outputs. The chapter also includes labs where we use real game data to give you a practical understanding of how to apply these concepts and tests and how to interpret the meaning of the results you get from each test and method.\",\"PeriodicalId\":137223,\"journal\":{\"name\":\"Game Data Science\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Game Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/oso/9780192897879.003.0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Game Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780192897879.003.0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This chapter introduces the basics of statistics and probability theory that will be used throughout the book. Specifically, it introduces the concepts behind descriptive statistics, including aspects of using visualization of means, medians, and modes, as well as distribution visualizations to understand your data for further analysis. It also introduces inferential statistics, specifically discussing t-tests and ANOVA, discussing the assumptions used for each of the tests and outputs. The chapter also includes labs where we use real game data to give you a practical understanding of how to apply these concepts and tests and how to interpret the meaning of the results you get from each test and method.