In your routine laboratory analysis, you tend to do a repeat when the duplicate results are far apart. However, when the third figure seems to be much closer to one of the duplicates, you might want to discard the other result and take the average of those closer to one another for reporting. Is this statistically justifiable?
Do you know there are many outlier statistic tests to determine an outlying data from a series of replicated data? Which one would you like to use?
I shall be conducting our 7th one-hour free webinar on Determination of Outliers on Monday 11 January 2021 at 8.00pm via Zoom to discuss the pros and cons of these methods.
You are most welcome to join the Webinar. We shall send you a Zoom link upon receipt of your expression of interest to my email: firstname.lastname@example.org
Let’s study applied statistics together!
Pre-launching our e-Learning workshop
I’m a Course Creator NOW!!!
Last weekend, I was approached by a business associate Shaun to become an online course creator. During chatting, he got to know that I was actually in the process of creating my online training business.
I also shared my 8-hour on-line course of “e-Learning the Basic Statistical Tools for Test Laboratories” in 2 sessions on how I can help laboratory personnel achieve basic technical competence in evaluating measurement uncertainty, method validation and data analysis by sharing with them how to apply statistical methods appropriately.
These skills and knowledge have allowed me to achieve running several successful public and in-house training workshops in this region for the last 15 years.
Shaun asked me if I would like to launch my own e-course about “e-Learning the Basic Statistical Tools for Test Laboratories”. I thought for a while, and said to myself, why not? I had been sharing such knowledge through physical workshops. Why not share this information with more people in this region through an e-course, so they can benefit as well?
So here I am, discussing about my upcoming e-course “e-Learning the Basic Statistical Tools for Test Laboratories”.
I shared this good news with a few of my ex-colleagues and friends, and they asked if they could enjoy the course at a discount. I am very pleased to announce that the FIRST 20 of those who would reply now can have a good 60% discount!
The virtual Zoom e-Course dates are scheduled on: 19th and 20th December 2020; Time: 0900 hrs – 1300hrs (Singapore time) with electronic course notes provided. e-Certificates of Participation will be issued to the registered participants after the course.
Course contents cover, by not limit to:
* Measurement errors, random and bias
* The concept of measurement uncertainty
* Sample and population
* Outlier tests
* Confidence interval for population mean – Central Limit Theorem, Student’s t-distribution
* Hypothesis or significance testing
* Basic ANOVA
* Linear regression
* Concept of detection limit
Please reply “𝐈 𝐚𝐦 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝!” to express your interest without obligation for the e-course: “e-Learning the Basic Statistical Tools for Test Laboratories”.
Retail Price: SGD 79.90 (USD 57.00)
After 60% discount: SGD 31.90 (USD 22.80) only
My email address: email@example.com
I shall follow it up with the Zoom link and payment methods.
Basic calculations of measurement uncertainty for medical testing (PPT)
This is part of my presentation at an annual scientific meeting of a medical laboratory association in Singapore.
Type II error simply explained (PPT)
In hypothesis testing, many find difficulty to understand what Type II error is all about although they do appreciate the reason for fixing a Type I error with a probability (alpha) of 0.05 as a norm for 95% confidence in not rejecting the null hypothesis Ho. Here we are trying to explain the Type II error in a plainer language.
Concept of limit of detection (LoD) (PPT)
Sharing a PPT presentation at one of the Webinars