Data Analysis

Types of data:

1. Attribute data : Integers, discrete, less complex skill levels, less storage, less desirable
   • E.g:Defects, scratches etc
2. Variable data: Real numbers, continuous, more complex skill levels, more storage, more desirable
   • E.g: Inches, PSI, Total scratch length etc
3. Locational data

Measurement scales (In increasing scale of desirability) :

• Nominal : No ordering possible
• Ordinal: Data is arranged in order but meaningless order
• Interval: Data is in order and differences can be found. But no starting or end points.
• Ratio: Has starting and end point.

Data collection methods

• Automatic
• Manual

Data coding:

• Add, Subtract, Multiply coding
• Coding by substitution
• Coding by truncation