M7. Basic Statistics for Lean Six Sigma | Ask Lex PH Academy | YouTubeToText
YouTube Transcript: M7. Basic Statistics for Lean Six Sigma
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hi welcome back in the previous sections
we have started and figured out
how data is important to lean six sigma
it is also important
for us to know how we can convert this data
data
into useful information and that is using
using
statistics statistics is the language of data
data
that are converted into useful
information it is said to be the art of collecting
collecting
classifying presenting interpreting
and analyzing raw data as well as making
inferences and conclusions
about a population under study this is
the usual way
that we do it in the lean six sigma
approach it also provides modern
decision makers he told to arrive
in a more confident business decisions nowadays
nowadays
organizations that know how to create
value from their data stays in the competition
competition
and succeeds this is how important statistics
statistics
is in the process of value creation when
we talk about data
talking about the approach we have here
what we call the did approach
this is data insights decision
coming from several sources the data
will be collected
cleaned organized visualized
and analyzed so that we can draw out insights
insights
about the problems and opportunities
that we might have
and from the insights we will now draw decisions
decisions
we will have a better and more confident decision
decision
if we base this on data this is how we
will do it in the succeeding sections
and teaching
for lean six sigma data analytics approach
approach
this is a great skill that you have to
develop if you want to be
a real lead six sigma practitioner and
if you want to create value for your organization
organization
let's take a practical example given
that you have seen the news that it will
probably rain today that gives you an
insight that you have to bring something
to protect you from the rain
this will trigger you to get an umbrella
or to take an umbrella with you as you
go out your household
this is a pretty simple example of how
data is converted into insight and being
used for decision making
in a day-to-day basis now moving forward
this is
what we will practice as we move along
the sections
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