Types of Data
1.Continuous Data
- Data that can be measured on a continuum or scale.
For example, length, weight, temperature, volume, pressure etc.
- In most cases, continuous data gives more information about the
process than discrete data.
- It usually follows normal distribution.
* To apply normal distribution, data should be continuous.
2. Discrete Data
- Data that cannot be broken down into smaller units.
- For example, the number of defective parts and defects in the
manufacturing process.
- Defective Data Binomial Distribution
- Defect Data Poisson Distribution
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