Comparative Statistics and Experimental Design - Online - English/Spanish
Course Details:
Please read all the course information listed below.
- Cost: AUD 4,190 (excluding GST)
- Location: Online
- Delivery: Online 4-week course, delivered in English or Spanish. In the Spanish course, spoken audio will remain in English with Spanish subtitles available, and downloadable learning resources (course notes and tutorial data sets) also translated into Spanish.
- Duration: Equivalent to a 3-day workshop delivered as a self-paced, online course, with content available for a 4-week period
- Course dates/times: The online course is available quarterly with enrolments taking place at the beginning of the month, dates and times listed for this course are in AEST
About Comparative Statistics and Experimental Design
Our Comparative Statistics and Experimental Design course equips mineral engineers and metallurgists with the statistical tools necessary to make informed decisions in the face of uncertainty.
| Duration: | 3-days in-person | 4-weeks online |
| Course Delivery: | Public course (custom in-house courses are also available on request) |
Our online course is also available in Spanish and Portuguese. Lectures and tutorials will be delivered in spoken English with Spanish/Portuguese closed captions and Spanish/Portuguese downloadable resources.
Course Testimonials
“Thank you for sharing your knowledge and experiences over the stats course. It was undoubtedly one of the most engaging and relevant courses that I have been able to attend.” - Graduate Metallurgist, Newmont
"The course is an excellent resource for mineral processing engineers. The content allows you to design experiments in the correct way, save you time and know that you are right. The content is well explained and real-world examples are used for context." - Open Course Participant, May 2021
Conducting and Analysing Plant Trials specifically covers the conduct and analysis of mineral processing plant trials, including paired testing, randomised block designs, analysing trial data by modelling with regression analysis, and cusum charts. The practical aspects of running a trial are also discussed. The first day covers the statistical methodologies, and the second day involves participants working on real case studies in small groups.
| Duration: | 2-days in-person |
| Course Delivery: | Public course (custom in-house courses are also available on request) |
“This was a bit of an eye-opener for me about the power of stats!” - Metallurgist, BHP
Please note that JKTech has a number of highly knowledgeable instructors who work closely with Prof. Tim Napier-Munn in the delivery of our statistics courses. The instructor for a particular course is dependent on the availability of our various presenters.
Course materials
A full set of notes is provided for each participant, plus Excel spreadsheets containing real plant-trial data so participants can practice the analytical methods discussed.
For more information:
- View our Statistics Training Brochure
- Preview the online course via the following video link - Tour of the online JKTech Stats Course
- Send us an enquiry
JKTech Pty Ltd reserves the right to cancel any course at its discretion. Whilst we endeavour to make every effort not to do this, there could be circumstances beyond our control (e.g. insufficient numbers) that may prevent us from going ahead. In light of this, if you need to fly, we suggest that you purchase a fully flexible airline ticket. If you would like a copy of our Standard Terms and Conditions for Provision of Training (including our full cancellation policy), please check our terms and conditions page.
Monograph:
Professor Tim Napier-Munn has published a book entitled Statistical Methods for Mineral Engineers: How to design Experiments and Analyse Data. Please click here for further information on the monograph.
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