Attribute Data vs Variable Data / Discrete Data vs Continuous Data

Attribute Data vs Variable Data / Discrete Data vs Continuous Data

Introduction

 - Measurement System Analysis study and Control chart selection decided based on collected data i.e attribute data (Discrete) or Variable data (Continuous).
 - This plays major role in problem solving process.

Attribute Data

 - It is a qualitative data that focuses on numbers for recording and analysis like yes or no.
 -  Attribute data simply classifies the output data as defective or not defective or pass/fail.
 - This data is simpler to gather than variable data.
 - Attribute data has two types

1. Yes/No type

 - Product confirmation - it is ok or not ok
 - Student pass the exam or fail the exam.
 - Machine Condition - running or not running

2. Number type

 - Number of defective parts in a lot
 - Number of employee in organization.
 - How many students failed the exam?

Benefits of Attribute Data

 - Attribute data is useful when qualitative information is required.
 - It is useful to create ratios, percentage or charts.
 - P chart, np chart, u chart, c chart used in attribute data

Variable Data

 - It is focus on measurements of system.
 - Variable data provide detailed and concrete information.
 - For example, if one product need to be made a one inch specification. at this stage attribute data only state whether each product fit the specification or not.
But variable data provide detail specification of each product. 
 - Example of variable data is 
1. Length, height, width of product. 
2. Weight of product
3. ID, OD of the component.

Benefits of Variable Data

 - Variable data provide detailed and concrete information.
 - Variable data is more useful while measuring the quality of the product.
 - X bar chart, R bar chart, X-MR chart etc are used in variable data.

Post a Comment

Please do not enter any spam link in the comment box.