NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards3
Showing 1 to 15 of 995 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hanna, Mark D.; Raichura, Nilesh; Bernardes, Ednilson – Journal of Learning in Higher Education, 2012
Public interest in educational outcomes has markedly increased in the most recent decade; however, quality management and statistical process control have not deeply penetrated the management of academic institutions. This paper presents results of an attempt to use Statistical Process Control (SPC) to identify a key impediment to continuous…
Descriptors: Business Administration Education, Instructional Improvement, Undergraduate Study, Quality Assurance
Peer reviewed Peer reviewed
Direct linkDirect link
Coy, Steven P. – Decision Sciences Journal of Innovative Education, 2016
In the exercise, students in a junior-level operations management class are asked to manufacture a simple product. Given product specifications, they must design a production process, create roles and design jobs for each team member, and develop a statistical process control plan that efficiently and effectively controls quality during…
Descriptors: Business Administration Education, Experiential Learning, Design, Manufacturing
Peer reviewed Peer reviewed
Direct linkDirect link
Baker, Ardith – Teaching Statistics: An International Journal for Teachers, 2014
Chocolate chip cookies are used to illustrate the importance and effectiveness of control charts in Statistical Process Control. By counting the number of chocolate chips, creating the spreadsheet, calculating the control limits and graphing the control charts, the student becomes actively engaged in the learning process. In addition, examining…
Descriptors: Teaching Methods, Statistics, Mathematics Instruction, Food
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Danny J. – Decision Sciences Journal of Innovative Education, 2011
This hands-on project uses a paper helicopter to teach students how to distinguish between common and special causes of variability when developing and using statistical process control charts. It allows the student to experience a process that is out-of-control due to imprecise or incomplete product design specifications and to discover how the…
Descriptors: Experiential Learning, Manipulative Materials, Teaching Methods, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Karimi, Hamid; O'Brian, Sue; Onslow, Mark; Jones, Mark; Menzies, Ross; Packman, Ann – Journal of Speech, Language, and Hearing Research, 2013
Purpose: Stuttering varies between and within speaking situations. In this study, the authors used statistical process control charts with 10 case studies to investigate variability of stuttering frequency. Method: Participants were 10 adults who stutter. The authors counted the percentage of syllables stuttered (%SS) for segments of their speech…
Descriptors: Stuttering, Adults, Charts, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Omar, M. Hafidz – Journal of Educational Measurement, 2010
Methods of statistical process control were briefly investigated in the field of educational measurement as early as 1999. However, only the use of a cumulative sum chart was explored. In this article other methods of statistical quality control are introduced and explored. In particular, methods in the form of Shewhart mean and standard deviation…
Descriptors: Charts, Quality Control, Measurement, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Bakker, Arthur; Kent, Phillip; Derry, Jan; Noss, Richard; Hoyles, Celia – Statistics Education Research Journal, 2008
To characterise statistical inference in the workplace this paper compares a prototypical type of statistical inference at work, statistical process control (SPC), with a type of statistical inference that is better known in educational settings, hypothesis testing. Although there are some similarities between the reasoning structure involved in…
Descriptors: Statistical Inference, Hypothesis Testing, Statistical Analysis, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Hill, Stephen E.; Schvaneveldt, Shane J. – Journal of Statistics Education, 2011
This article presents an educational exercise in which statistical process control charts are constructed and used to identify the Steroids Era in American professional baseball. During this period (roughly 1993 until the present), numerous baseball players were alleged or proven to have used banned, performance-enhancing drugs. Also observed…
Descriptors: Team Sports, Charts, Drug Use, Athletes
Peer reviewed Peer reviewed
Direct linkDirect link
Scott, Dane; Firth, Daniel – Journal of Chemical Education, 2019
Statistical process control (SPC) is used in the chemical industry to monitor manufacturing and laboratory processes to ensure quality and compliance with regulatory requirements. Control charts are a key tool used in this monitoring. Industrial job postings desire experience with SPC. Most undergraduates entering the workforce have no exposure,…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Science Laboratories
Peer reviewed Peer reviewed
Direct linkDirect link
Vaughan, Timothy S. – Journal of Statistics Education, 2015
This paper introduces a dataset and associated analysis of the scores of National Football League (NFL) games over the 2012, 2013, and first five weeks of the 2014 season. In the face of current media attention to "lopsided" scores in Thursday night games in the early part of the 2014 season, t-test results indicate no statistically…
Descriptors: Team Sports, Success, Scores, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Karvounidis, Theodoros; Chimos, Konstantinos; Bersimis, Sotirios; Douligeris, Christos – Education and Information Technologies, 2018
This work investigates the effect a Web 2.0 learning environment may have in higher education in adding value to the students' existing competencies. The major issues that this work examines are whether the incorporation of a Web 2.0 environment in higher education has an effect on the students' performance and what are the significant factors…
Descriptors: Educational Technology, Technology Uses in Education, Web 2.0 Technologies, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bi, Henry H. – Assessment & Evaluation in Higher Education, 2018
There are no absolute standards regarding what teaching evaluation ratings are satisfactory. It is also problematic to compare teaching evaluation ratings with the average or with a cutoff number to determine whether they are adequate. In this paper, we use average and standard deviation charts (X[overbar]-S charts), which are based on the theory…
Descriptors: Robustness (Statistics), Data Interpretation, Rating Scales, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Dickey, Michael D.; Stewart, Michael D.; Willson, C. Grant – Journal of Chemical Education, 2006
An experiment is described, which is designed for a junior-level chemical engineering "fundamentals of measurements and data analysis" course, where students are introduced to the concept of statistical process control (SPC) through a simple inline mixing experiment. The students learn how to create and analyze control charts in an effort to…
Descriptors: Science Education, Data Analysis, Chemical Engineering, Science Experiments
Vollstedt, Ann-Marie – ProQuest LLC, 2010
This dissertation pertains to the field of Engineering Education. The Department of Mechanical Engineering at the University of Nevada, Reno (UNR) is hosting this dissertation under a special agreement. This study was motivated by the desire to find an improved, quantitative measure of student quality that is both convenient to use and easy to…
Descriptors: Curriculum Development, Engineering Education, Test Results, Grades (Scholastic)
Peer reviewed Peer reviewed
Direct linkDirect link
Hoyles, Celia; Bakker, Arthur; Kent, Phillip; Noss, Richard – Mathematical Thinking and Learning: An International Journal, 2007
This article is concerned with the meanings that employees in industry attribute to representations of data and the contingencies of these meanings in context. Our primary concern is to more precisely characterize how the context of the industrial process is constitutive of the meaning of graphs of data derived from this process. We draw on data…
Descriptors: Employees, Ethnography, Graphs, Total Quality Management
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  67