What is a z-score in quality control?
An example of an AI chatbot conversation about z-scores in quality control.
What is a z-score in quality control?
A z-score in quality control measures how many standard deviations a data point is from the mean. It helps identify outliers.
How do you calculate the z-score?
To calculate the z-score, subtract the mean from the data point and then divide by the standard deviation: z = (X - μ) / σ.
Why is the z-score important in quality control?
The z-score is important because it helps determine if a process is in control or if there are variations that need to be addressed.
Can you give an example of using z-scores in quality control?
Sure! If a factory's mean product weight is 100g with a standard deviation of 2g, a product weighing 104g has a z-score of 2, indicating it's 2 standard deviations above the mean.
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