MINITAB is available on the Geology & Geophysics PC network, on the KB centre PC network and on Edinburgh University mainframe machines such as holyrood. MINITAB is an ideal package for learning statistics. MINITAB is a particularly easy package to learn and to use it has excellent self-help facilities, has been well tested, includes modem statistical methods and is widely used both inside and outside the University. Numerous high-quality statistical packages are available in Edinburgh good ones include MINITAB and Splus. Much better, however, are statistical packages that have been specially written to be 'user friendly' and to include a comprehensive suite of up-to-date statistical methods. Spreadsheets such as EXCEL contain a number of statistical functions, and these can be very helpful. #2 sample t test minitab softwareThe recent advent of spreadsheets and statistical/graphical software packages has transformed elementary statistical analysis from a rather mathematical subject, backed up by dense statistical tables, into a readily accessible technique. Analysis is the step between obtaining data and applying it to solve practical problems. Data analysis includes (i) organising measurements into a meaningful order or into groups, (ii) reducing the data into manageable quantities, (iii) forming succinct descriptions of the main features of the data, and (iv) elucidating any anomalies for subsequent examination. Measurements are of little use until they are 'analysed'. (Roy Thompson, Geology & Geophysics Department) Practical statistical analyses using MINITAB This Accendo Reliability webinar originally broadcast live on 21 May 2014.Practical statistical analyses using Minitab Sample size and sampling frequency tradeoffs.Calculating sample size for traditional (X-bar) charts.The relationship between sample size and sampling frequency is also discussed.įinally, the use of OC curves to assess the risks of undetected process changes for a given sample size is presented. The factors to be considered when determining the sample size are explored and examples of determining an appropriate sample size for a typical application are presented. In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). That is, effective control charts will detect process changes that have a practical significance while minimizing signals resulting from smaller changes that are of minimal concern. One important consideration in the selection and design of control charts (that is often overlooked) is the determination of an appropriate sample size.Ī sample size should be selected that will align the statistical properties of the control chart with what are practically significant changes. The purpose of control charting is to detect significant process changes when they occur. SPC Sample Size Presented by Steven Wachs Root Cause Analysis and the 8D Corrective Action Process course.An Introduction to Reliability Engineering.Reliability Analysis Methods online course.14 Ways to Acquire Reliability Engineering Knowledge.Reliability Engineering Management DRAFT.Innovative Thinking in Reliability and Durability.Equipment Risk and Reliability in Downhole Applications.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |