STATISTICAL APPLICATION DEVELOPMENT WITH R AND PYTHON

The American Statistician, 2017

The six recommendations made by the Guidelines for Assessment and Instruction in Statistics Education (GAISE) committee were first communicated in 2005 and more formally in 2010. In this paper, 25 introductory statistics textbooks are examined to assess how well these textbooks have incorporated the three GAISE recommendations most relevant to implementation in textbooks (statistical literacy and thinking; use of real data; stress concepts over procedures). The implementation of another recommendation (using technology) is described but not

4TH INTERNATIONAL CONFERENCE ON FRONTIERS OF BIOLOGICAL SCIENCES AND ENGINEERING (FBSE 2021)

Administrations Statistics have a significant job in research. Accordingly, Managements Statistics should be dominated well by understudies. Administrations Statistics is learning dependent on ICT needed to develop it further and in light of perceptions tracked down that the PC as mindtools in measurements has not utilized. Utilizing applications is the ideal approach to see every measurable idea. One of the applications that can use is the R language. R is the free form that can assist with preparing information, present information in graphical structure, and examine reports. This investigation is expected to foster a coordinated administration insights coursebook with R language that can work on the adequacy of learning Managements Statistics. This investigation embraced the plan research technique-the coursebook created with the Plomp model and alluded to Tessmer's developmental assessment. The discoveries show that the coursebook is legitimate from the substance and builds viewpoints.

2001

Literate Statistical Practice (LSP) is an method for statistical practice which suggests that documentation and specification occur at the same time as statistical coding. It applies literate programming Knuth (1992) to the practice of statistics. We discuss 2 different approaches for LSP, one currently implemented using Emacs with Noweb and Emacs Speaks Statistics (ESS), and the other developed based on eXtensible Markup Language (XML) tools. The interference needed to change an individual's habits comes at a high cost, and good tools are critical for encouraging people to switch to a more literate style. We discuss why LSP can help, and suggest how ESS can ease the burden placed on the analyst.

International Statistical Review, 2011

Much of the course will be focused around the computing system R which provides various statistical facilities including high quality graphics. It is an open source system and is available free. It is 'not unlike' the expensive commercial package S-PLUS, the prime difference is that R is command-line driven without the standard menus and dialog boxes in S-PLUS. Otherwise, most code written for the two systems is interchangeable.

2002

In the rst part of this paper, wewillprovide a general overview on electronic "Introductory Statistics" textbooks and summarize their individual strengths and weaknesses. Examples of such electronic textbooks are the CD-ROM-based ActivStats, the Web-based CyberStats, and the CD-ROM- and Web-based MM*Stat, In the second part of this paper, we will present our experiences from teaching an undergraduate "Introductory Statistics" course at Utah State University, using CyberStats. We compare this Web-based course with similar textbook-based courses and report student and instructor viewpoints.

Early praise for Data Science Essentials in Python This book does a fantastic job at summarizing the various activities when wrangling data with Python. Each exercise serves an interesting challenge that is fun to pursue. This book should no doubt be on the reading list of every aspiring data scientist.

1991

The community of statisticians and statistics educators should take responsibility for the evaluation and improvement of software quality from the perspective of education. The paper will develop a perspective, an ideal system of requirements to critically evaluate existing software and to produce future software more adequate both for learning and doing statistics in introductory courses. Different kinds of tools and microworlds are needed. After discussing general requirements for such programs, a prototypical ideal software system will be presented in detail. It will be illustrated how such a system could be used to construct learning environments and to support elementary data analysis with exploratory working style.

Penentuan resiko merupakan hal penting bagi manajemen dan auditor internal. Auditor internal harus memasukkan hasil penentuan resiko kedalam program audit untuk memastikan bahwa control-kontrol yang dibutuhkan memang diterapkan untuk mengurangi resiko. Beberapa hambatan, atau resiko akan dating dari luar entitas, sedangkan yang lainnya dari dalam. Sebagai contoh : • Suatu hukum atau peraturan baru mengalihkan sumber daya dari operasi yang dibutuhkan untuk mencapai tujuan • Sebuah perusahaan pesaing memperkenalkan produk atau jasa baru yang membutuhkan tindakan segera dan menciptakan tujuan baru dengan menurunkan prioritas tujuan sebelumnya • Sebuah terobosan teknologi membuat satu atau lebih tujuan menjadi usang • Seorang manajer yang tidak kompeten mengabaikan tujuan organisasi yang telah ditetapkan Merencanakan Penentuan Risiko dan Eksposur Rencana audit harus dirancang untuk memasukkan pertimbangan tentang risiko dan eksposur organisasi. Memperluas Audit Berbasis Resiko Konsep audit berbasis risiko secara tradisional bermula dari observasi dan analisis control, kemudian berlanjut ke penentuan risiko yang berkaitan dengan operasi, dan akhirnya ke penentuan apakah aktivitas ini sesuai dengan tujuan-tujuan organisasi. Konsep manajemen resiko ini telah semakin diterima karena risiko tidak dapat dihindarkan disemua jenis operasi dan adanya kebutuhan untuk mengakomodasinya melalui berbagai pilihan aktivitas. Pilihan-pilihan tersebut mencakup :