M5. Measures Scales and Its Uses | Ask Lex PH Academy | YouTubeToText
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hi everyone welcome back in this section
we will study further data
and this time what we call measurement
scales there are different data types
that are available
in our practice of lean six sigma data analysis
analysis
so let's look on the data types on the
left side
we can see categorical data and on the
right side we can see numerical data
under categorical data we still have nominal
nominal
and ordinal and under numerical data
we have interval and ratio when we say
categorical data
these are data which came from categories
categories
if we can categorize them therefore we
can count them
however numerical data these are data
coming from measurements
continuous measurements from continuum scale
scale
it's important for us to know the data
type because it will dictate on what
tools are we using for the analyze phase later
later
on so we will be discussing nominal ordinal
ordinal
interval and ratio measurement scales
moving forward
what is a nominal data nominal values
represent discrete units
and are used to label variables that
have no quantitative value
and order does not matter in short they
are just
labels to our data example what is your gender
gender
answers would be male or female you have
been categorized
as a male or female in this particular example
example
but there is no quantitative value to
each option
next what languages do you speak is it
english french german or spanish
so you are giving a label but you're not
giving a quantitative value
but afterwards what you can do is you
can count
how many are females how many are males
or how many are speaking english french
german and spanish so this is
nominal data next we have
ordinal data ordinal values represent discrete
discrete
and ordered units it is therefore nearly
the same as nominal data
except that its ordering matters in this case
case
order matters for example first second
third fourth and fifth also we have a
particular example coming from a survey
asking what is your educational
background is it elementary
high school undergraduate or graduate
we know that elementary to graduate can
also be considered as nominal but because
because
chronological order is important
therefore we assign
1 2 3 and 4 to designate the order matters
matters
so this is an example of ordinal data
next is interval data interval values
represent ordered units that have the
same difference
for example temperature in interval data
there is an absolute value of zero ratio data
data
ratio values are also ordered units that
have the same difference
ratio values are the same as interval
values with the difference that they have
have
and absolute zero again we have several
data types
that are being considered in our lean
six sigma data analytics
we have categorical and numerical
under categorical false nominal and ordinal
ordinal
and under numerical we have interval and ratio
ratio
in the next section you will be asked to
answer a practice quiz
so that we can test if you really
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