Multiple Choice
Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2) .
-Refer to Exhibit 10.1. Suppose that for a given observation, the difference between Mahalanobis distances between group 1 and 2 (G1-G2) is small. This means that
A) The observation is likely to be classified incorrectly
B) The observation is likely to be classified correctly
C) The observation is unlikely to be classified
D) The observation should be deleted from the data set
Correct Answer:

Verified
Correct Answer:
Verified
Q13: In the _ step of data mining,
Q14: An Excel add-in tool used for data
Q15: Exhibit 10.2<br>The following questions are based on
Q16: _ is a classification technique that estimates
Q17: Logistic regression is a classification technique that<br>A)
Q19: In the _ step of data mining,
Q20: The goal of discriminant analysis is<br>A) to
Q21: When purity is perfect, the Gini index
Q22: Exhibit 10.1<br>The following questions are based on
Q23: The Fisher linear discriminant function<br>A) identifies a