Logit and Probit Models Are More Appropriate Than Linear Probability

question 7

Multiple Choice

Logit and probit models are more appropriate than linear probability models because:

• A) Logit and probit can estimate probabilities that are negative
• B) Logit and probit cannot estimate probabilities that are greater than one
• C) Logit and probit cannot estimate probabilities that are negative but not greater than one
• D) Logit and probit cannot estimate probabilities that are negative or greater than one

Recognize the importance of geometric tolerances in relation to datums.

Understand the principle of contact points between a part and datum planes during measurement or assembly.

Learn about the methods to designate a portion of a surface as a datum.

Understand the significance of datum features in establishing part orientation and measurement reference.