{"title":"Guest Commentary","authors":"Opeoluwa Oyedele","doi":"10.54421/njrst.v4i1.79h","DOIUrl":null,"url":null,"abstract":"Fast becoming an ever-present reality in our day-to-day lives, statistics play an intrinsic and contemporary role in our everyday activities, especially, in today’s data-driven world. Owning to its definition as the science of collecting, summarizing, presenting and interpreting information, statistics helps us understand the world a little bit better through numbers as well as other quantitative and qualitative source of information. Although statistics originated many centuries ago, its impacts and applications have evolved in recent years as modern statisticians have advanced applications of statistics through innovative, problem-solving approaches, far beyond its historic use by governmental offices to capture censuses in order to track population sizes and growths (Michigan Technological University, 2021). One of these modern statisticians was Sir Ronald Aylmer Fisher (1890 - 1962) who was active as a mathematician, statistician and geneticist. Although trained as an (evolutionary) biologist, Fisher was referred to as the “father of the modern science of statistics” as he single-handedly created the foundations for modern statistical science (Anders, 1998). He further pioneered the design of experiments principles, small samples statistics and the analysis of real data. He went on to published a book titled “Statistical Methods for Research Workers” in 1925, which later became one of the 20th century's most influential books on statistical methods and even to date. His notable works includes the popularly used F-test, F-distribution, Fisher’s exact test, maximum likelihood estimation, random effects models and analysis of variance, to mention a few. The importance of statistics being relevant to nearly every area of our lives cannot be overemphasized enough, to the extent that all countries over the world have at least one national statistical agency operating within their respective countries that manages critical information related to labour trends, health, education, political campaigns and many more. Statistics has influenced and is still influencing the operations of industries such as the sales and financial markets, profit and non-profit organizations, meteorological services, medical care services, manufacturing, urban planning, education, law, and even social media analytics (to mention a few). In this present world, we as individuals and organizations regularly use statistics to make daily financial and non-financial planning and budgeting decisions that affects our lives. For example, consider the daily forecasted weathers, lending risks at banks, impacts of economy crises, healthcare financial policies, traffic flow operations, investment payoffs, urban planning with respect to population growths and declines, predicting diseases, stock markets, human psychology behaviours, insurance pay-outs, and political election results. All these, and more, are statistics and/or derived from statistics. Another simple life application of statistics is the global daily recorded number of COVID-19 cases, deaths, recoveries and vaccination numbers. As of 23 August 2021, a total of 212,679,403 COVID-19 cases were recorded, with 4,446,610 deaths and 190,301,359 recoveries, with majority of these cases reported in the United States of America, India, Brazil, United Kingdom, France, Russia, Turkey and Italy (Worldometer, 2021). Again, all these basic figures were all compiled through the use of statistics in various regions, states, countries, provinces and continents all over the world. Thus, statistics is heavily used in many different fields for a variety of applications as showcased in this journal issue.","PeriodicalId":314128,"journal":{"name":"Namibian Journal for Research, Science and Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Namibian Journal for Research, Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54421/njrst.v4i1.79h","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
Fast becoming an ever-present reality in our day-to-day lives, statistics play an intrinsic and contemporary role in our everyday activities, especially, in today’s data-driven world. Owning to its definition as the science of collecting, summarizing, presenting and interpreting information, statistics helps us understand the world a little bit better through numbers as well as other quantitative and qualitative source of information. Although statistics originated many centuries ago, its impacts and applications have evolved in recent years as modern statisticians have advanced applications of statistics through innovative, problem-solving approaches, far beyond its historic use by governmental offices to capture censuses in order to track population sizes and growths (Michigan Technological University, 2021). One of these modern statisticians was Sir Ronald Aylmer Fisher (1890 - 1962) who was active as a mathematician, statistician and geneticist. Although trained as an (evolutionary) biologist, Fisher was referred to as the “father of the modern science of statistics” as he single-handedly created the foundations for modern statistical science (Anders, 1998). He further pioneered the design of experiments principles, small samples statistics and the analysis of real data. He went on to published a book titled “Statistical Methods for Research Workers” in 1925, which later became one of the 20th century's most influential books on statistical methods and even to date. His notable works includes the popularly used F-test, F-distribution, Fisher’s exact test, maximum likelihood estimation, random effects models and analysis of variance, to mention a few. The importance of statistics being relevant to nearly every area of our lives cannot be overemphasized enough, to the extent that all countries over the world have at least one national statistical agency operating within their respective countries that manages critical information related to labour trends, health, education, political campaigns and many more. Statistics has influenced and is still influencing the operations of industries such as the sales and financial markets, profit and non-profit organizations, meteorological services, medical care services, manufacturing, urban planning, education, law, and even social media analytics (to mention a few). In this present world, we as individuals and organizations regularly use statistics to make daily financial and non-financial planning and budgeting decisions that affects our lives. For example, consider the daily forecasted weathers, lending risks at banks, impacts of economy crises, healthcare financial policies, traffic flow operations, investment payoffs, urban planning with respect to population growths and declines, predicting diseases, stock markets, human psychology behaviours, insurance pay-outs, and political election results. All these, and more, are statistics and/or derived from statistics. Another simple life application of statistics is the global daily recorded number of COVID-19 cases, deaths, recoveries and vaccination numbers. As of 23 August 2021, a total of 212,679,403 COVID-19 cases were recorded, with 4,446,610 deaths and 190,301,359 recoveries, with majority of these cases reported in the United States of America, India, Brazil, United Kingdom, France, Russia, Turkey and Italy (Worldometer, 2021). Again, all these basic figures were all compiled through the use of statistics in various regions, states, countries, provinces and continents all over the world. Thus, statistics is heavily used in many different fields for a variety of applications as showcased in this journal issue.
统计迅速成为我们日常生活中无处不在的现实,在我们的日常活动中发挥着内在和当代的作用,特别是在当今数据驱动的世界中。由于它的定义是收集、总结、呈现和解释信息的科学,统计学帮助我们通过数字以及其他定量和定性的信息来源更好地了解世界。虽然统计起源于许多世纪以前,但近年来,随着现代统计学家通过创新的解决问题的方法先进地应用统计数据,其影响和应用已经发展,远远超出了政府办公室为跟踪人口规模和增长而进行人口普查的历史用途(密歇根理工大学,2021年)。这些现代统计学家之一是罗纳德·艾尔默·费雪爵士(Sir Ronald Aylmer Fisher, 1890 - 1962),他是一位活跃的数学家、统计学家和遗传学家。虽然费舍尔是一名(进化)生物学家,但他被称为“现代统计科学之父”,因为他一手创建了现代统计科学的基础(安德斯,1998)。他进一步开创了实验原理的设计、小样本统计和真实数据的分析。1925年,他出版了一本名为《研究工作者的统计方法》(Statistical Methods for Research Workers)的书,这本书后来成为20世纪乃至迄今为止最具影响力的统计方法书籍之一。他的著名作品包括常用的f检验、f分布、费雪精确检验、最大似然估计、随机效应模型和方差分析等。统计数据与我们生活的几乎每一个领域都有关,这一点无论怎么强调都不为过,因为世界上所有国家都至少有一个国家统计机构在各自的国家内开展业务,管理与劳工趋势、卫生、教育、政治运动等有关的关键信息。统计已经并仍在影响着销售和金融市场、盈利和非营利组织、气象服务、医疗服务、制造业、城市规划、教育、法律,甚至社交媒体分析等行业的运作(仅举几例)。在当今世界,作为个人和组织,我们经常使用统计数据来制定影响我们生活的日常财务和非财务计划和预算决策。例如,考虑每日预测的天气、银行贷款风险、经济危机的影响、医疗保健金融政策、交通流量操作、投资回报、与人口增长和下降相关的城市规划、预测疾病、股票市场、人类心理行为、保险赔付和政治选举结果。所有这些,以及更多,都是统计数据和/或来源于统计数据。统计数据的另一个简单生活应用是全球每日记录的COVID-19病例数、死亡人数、康复人数和疫苗接种人数。截至2021年8月23日,共记录了212,679,403例COVID-19病例,其中4,446,610例死亡,190,301,359例康复,其中大多数病例报告发生在美利坚合众国、印度、巴西、联合王国、法国、俄罗斯、土耳其和意大利(Worldometer, 2021年)。同样,所有这些基本数据都是通过使用世界各地区、州、国家、省和各大洲的统计数据编制的。因此,统计在许多不同领域的各种应用中被大量使用,正如本期杂志所展示的那样。