In a quality control process at a manufacturing unit, defects occur rarely and independently. Which data distribution would be an appropriate model for the number of defects?
- Binomial Distribution because it represents the number of successes in a given number of trials
- Normal Distribution because it represents continuous data
- Poisson Distribution because it models the number of events occurring in a fixed interval of time
- Uniform Distribution because all outcomes are equally likely
The Poisson Distribution is most suitable for modeling the number of defects in a manufacturing unit because it models the number of events (defects) occurring in a fixed interval of time or space.
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