Introductory Statistics for Decision Makersについて
Introductory Statistics for Decision Makers 講義ページ
担当教員：Carl Sherwood先生 （クイーンズランド大学）
↓ ↓Carl先生の紹介ビデオです↓ ↓
◆１月４日～６日は３時限終了後にEnglish Extensive Sessionを開きます。
Welcome to INTRODUCTORY STATISTICS FOR DECISION MAKERS. The course covers a variety of techniques applicable to the presentation, use, and interpretation of data. The main emphasis is on inferential statistics, with an understanding of estimation and hypothesis testing being the central theme of the course.
|Theme and Objectives||
2016.1.4 (DAY 1)
2016.1.5 (DAY 2)
2016.1.6 (DAY 3)
2016.1.7 (DAY 4)
Description of MOSS activity:
MOSS book detail requirements:
Marking guide criteria that will be used for 20% daily mark over 3 days (each criteria out of 4 marks), and also for the final group presentation for 40% (each criteria out of 8 marks):
３．Described the statistical techniques need to solve particular problem types.
４． Conduct statistical analysis of data so as to draw statistical conclusions
５．Communicate statistical findings for practical and professional use
and Related Subjects
I will assume that students have a good knowledge of algebra and can rearrange equations. The ability to use Excel would also be helpful, as well as some previous experiences in a basic statistics course. Also, knowledge of English at least at intermediate level is required.
|Office Hour and
Before starting the course, please contact Maruyama sensei by
Students seeking careers in business development, management, sports administration, marketing, engineering, medicine, scientific inquiry, or any career requiring analysis of numerical data in decision making, should attend this course. Students quickly learn how to apply theoretical lecture material to real world practical situations. Real world sample data is initially collected by students at the start of the course. Then, through interacting with fellow students during the course, students learn how to apply course concepts so as to draw meaningful, practical conclusions from analysing sample data.
No textbook is required to be purchased. The topics covered are standard topics presented in any introductory inferential statistics theory textbook (one that is at intermediate level). In addition, chapters from a textbook written by Carl are anticipated will be made available to students online, both prior to and during the course. These online chapters relate directly to the material covered in the course and should help in your preparation and study during for the course.
Access to the lecture’s own library of YouTube video materials covered in this course will be made available free to students. In addition, access to textbook chapters written by the lecturer and used in this course, will also be made available online free to students by the textbook publisher.
This course offers you the opportunity to master the key concepts in a strictly English environment.
Inferential statistics, statistical terminology, statistical techniques, MOSS book