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#politics do not work because # politicians have never understood the #scientific #principles of #chemistry, #biology, #math, #physics, and #statistics. We need #educated people who can decide what a #government can or can not do. #freedomIsNotToBeGivenAwayCanada
This is an example where #LeanSixSigma methodology together with #Minitab and #Statistics can be used in #QualityControl, #Research&Development, #ContinuousImprovement, #Engineering, #DataScientists
The latest results in France and the UK should engage more students to learn #statistics
Here is a good example to start! www.khanacademy.org/math/ap-statistics/xfb5d8e68:i…
#Data #visualization is paramount when #learning regardless of the type of industry, job, or level of knowledge. Knowing #statistics combined with data visualization leads to higher #productivity, #efficiency, #quality, etc.
Try it yourself www.geogebra.org/m/XUv5mXTm
In #STEM (#science, #technology, #engineering, and #mathematics), #statistics is a major topic. Statistics belongs to #art and it is obvious and all of our #predecessors have understood too well!๐ #StatisticsArt
Since #reasoning is important for gaining a certain level of #knowledge in almost everything then #statistics is one of the topics that shall be taught in all schools and all levels.๐
The #development of #machinelearning, #AI, and #blockchain are all as important, but nothing can ensure their #implementations if #students don't know statistics. At the base of data collection, interpretation, and decision-making we have the statistics. #learn #statistics
As any #measurementsystem uses #statistics, #population #types, etc. #immigration can very well #predict the results before doing any #experimentation on its real population. #populationmix
Yet, some #culturesgenerateerrors and learning #statistics will help students to differentiate #errors from #bias. How #errors are generated by #governments?
#Wars exist today due to #wrong politics. We all know that there are #differences #between #populations #statistics
As #statistics and #math are using the #comparison method to solve the #equations of those who are #true #independent, why do we continue to promote #nonvalue in #education?
#statistics requires a step-by-step approach when learning it therefore students can not reach advanced knowledge in #designing #experiments unless they understood well the lower levels. The issues occur when we have #politicians who #design for us the different #scenarios that are all either leading to more corruption or more wars.
In #statistics, we use #functions to #normalize data while in real life #poor, #unhealthy, etc. people can only be #normalized when they have all the #support they need. Have we all forgotten the #history of poverty and its consequences?
Some programs/courses teach advanced statistics levels to students who don't have the basic knowledge as many either can't or do not know how to learn independently- #demotivator factors #governmenteducationpolicies. It is mandatory to learn #math and #statistics in a world that requires a #cleanenvironment with a #democratic view of the #qualityoflife. #eliminatepoverty
Any #kind of analysis performed in any #type of environment requires #criticalthinking, data collection, and interpretation, #communication, etc., therefore, an adequate level of knowledge in #statistics and #math. It still appears that these types of knowledge continue to be disregarded everywhere including in #education.
#statistics is not the type of topic that can be picked up at a high level by those without prior knowledge, experience, and practices. Expecting students to pick up and learn when there is no prior knowledge simply means that we de-motivate our #learners.
#machinelearning and #statistics are tightly connected, therefore, those who learn the stats๐will have a chance to also understand ML๐
I see that those #students who will learn #statistics, #predictive #analytics, #machinelearning will be able to solve the many challenges that exist now in all areas as #healthcare, #education, #environment, #politics, #manufacturing etc. #data
Everyone knows that the #larger the #population, the more #normal its #behavior will become. While #traditional #statistics has already set-up the bases, why #Machinelearning seems to be still considered a mistery?
those who #failed to create the #social and #inclusive #societies are responsible for the entire failure that the next #generations will have to carry on- very few understand how large these difference are between and among the populations since #statistics do not have a way of knowing #AIsocialtransformation