The Formula for the Sample Variance Is
A) $s _ { Y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right)$

question 19

Multiple Choice

The formula for the sample variance is

• A) \(s _ { Y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right)\)
• B) \(s _ { Y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right) ^ { 2 }\)
• C) \(s _ { Y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \mu _ { Y } \right) ^ { 2 }\)
• D) \(s _ { Y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n - 1 } \left( Y _ { i } - \bar { Y } \right) ^ { 2 }\)

Recognize the importance of sample size in determining control chart limits.

Understand the concept of standard deviation in the context of quality control and its calculation for different scenarios.

Comprehend the relationship between process performance and the uniformity indicated by control charts.

Grasp the concept of nominal specifications and their role in quality control.

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