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M4. Data Types and Why Are They Important

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hi welcome back in this section we will

continue our discussion about data types

and how data types affects our analysis

in Lean Six Sigma we've learned from the

past session that we have different

levels of measurements per measurement

scales in this session we will discuss

data type data type as represented by

continuous data and represented by

discrete data first let's differentiate

the two continuous data is any data that

has been captured or collected coming

from what we call a continuum scale

practically speaking these are

measurable data anything that can be

measured while discrete data our data

the do came from counts or categories

generally categories and afterwards

counted let's take some examples for

continuous data length of a part filled

with of a cereal box

cycle time of production it also

includes your rate your length your high

temperature and anything that can be

measured this will fall under continuous

data on the other hand discrete examples

are number of customer complaints number

of defects number of absent number of

present your test score number of

occurrences number of good units number

of absent people those are all examples

of discrete data their first categorize

and then counted this is the main two

data types that we will be handling as

we talk about Lean Six Sigma data

analysis specifically when we cover the

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YouTube Transcript:M4. Data Types and Why Are They Important

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YouTube Transcript:
M4. Data Types and Why Are They Important