AN 300 -EXAM 2 WITH QUESTIONS AND ANSWERS
QUESTIONTerms that have a count of one are excluded from analysis. - ANSWER~Stop word terming
QUESTION"tired", "exhausted", "sleepy", "drained" are recoded as "tired". - ANSWER~Synonyms
tokenizing
QUESTIONMatch the application on the left with its descriptive analytics technique on the right.
-Analyzing financial news articles. - ANSWER~Text mining
QUESTIONAnalyzing what webpages are being visited together. - ANSWER~Association rule analysis
QUESTIONAnalyzing what symptoms of an illness occurred together. - ANSWER~Association rule analysis
Which of the following is true about cluster analysis? Check all that apply.
-It is a descriptive analytics technique
-It is to discover associations between objects.
-It is used to discover natural groupings of objects.
-It is to answer what has happened questions.
-It is a descriptive analytics method.
-It is to answer what could happen questions. - ANSWER~-It is a descriptive analytics technique.
-It is used to discover natural groupings of objects.
-It is to answer what has happened questions.
QUESTIONWhich of the following is a characteristic of a cluster analysis problem? (Check all that apply):
-The data that describes the object must be given.
-Its objective is to maximize similarities of objects between groups.
-The data on group memberships must be given.
-It is about how to discover
-It is about how to organize objects into groups.
, -Its objective is to maximize similarities of objects within groups. - ANSWER~-The data that describes the
object must be given.
-It is about how to organize objects into groups.
-Its objective is to maximize similarities of objects within groups.
QUESTIONYou have data on the weight and height of patients. Which similarity measure should be used
to calculate how similar a group of patients is to one another?
-Manhattan coefficient
-Correlation coefficient
-Euclidean distance
-Matching coefficient
-Straight line distance - ANSWER~-Euclidean distance
QUESTIONYou have data on the gender and income levels of customers. Which similarity measure
should be used to calculate how similar a group of customers is to one another?
-Correlation coefficient
-Matching coefficient
-Straight line distance
-Manhattan coefficient
-Euclidean distance - ANSWER~-Matching coefficient
QUESTIONMatch the description on the left with the measure to use on the right.
-It is the length of a straight line between two objects. - ANSWER~Euclidian Distance
QUESTIONIt requires replacing the raw value of data with its z-score. - ANSWER~Euclidian Distance
QUESTIONThe lower the measure the better - ANSWER~Euclidian Distance
QUESTIONIt is for categorical Data - ANSWER~Matching Coefficient
QUESTIONTerms that have a count of one are excluded from analysis. - ANSWER~Stop word terming
QUESTION"tired", "exhausted", "sleepy", "drained" are recoded as "tired". - ANSWER~Synonyms
tokenizing
QUESTIONMatch the application on the left with its descriptive analytics technique on the right.
-Analyzing financial news articles. - ANSWER~Text mining
QUESTIONAnalyzing what webpages are being visited together. - ANSWER~Association rule analysis
QUESTIONAnalyzing what symptoms of an illness occurred together. - ANSWER~Association rule analysis
Which of the following is true about cluster analysis? Check all that apply.
-It is a descriptive analytics technique
-It is to discover associations between objects.
-It is used to discover natural groupings of objects.
-It is to answer what has happened questions.
-It is a descriptive analytics method.
-It is to answer what could happen questions. - ANSWER~-It is a descriptive analytics technique.
-It is used to discover natural groupings of objects.
-It is to answer what has happened questions.
QUESTIONWhich of the following is a characteristic of a cluster analysis problem? (Check all that apply):
-The data that describes the object must be given.
-Its objective is to maximize similarities of objects between groups.
-The data on group memberships must be given.
-It is about how to discover
-It is about how to organize objects into groups.
, -Its objective is to maximize similarities of objects within groups. - ANSWER~-The data that describes the
object must be given.
-It is about how to organize objects into groups.
-Its objective is to maximize similarities of objects within groups.
QUESTIONYou have data on the weight and height of patients. Which similarity measure should be used
to calculate how similar a group of patients is to one another?
-Manhattan coefficient
-Correlation coefficient
-Euclidean distance
-Matching coefficient
-Straight line distance - ANSWER~-Euclidean distance
QUESTIONYou have data on the gender and income levels of customers. Which similarity measure
should be used to calculate how similar a group of customers is to one another?
-Correlation coefficient
-Matching coefficient
-Straight line distance
-Manhattan coefficient
-Euclidean distance - ANSWER~-Matching coefficient
QUESTIONMatch the description on the left with the measure to use on the right.
-It is the length of a straight line between two objects. - ANSWER~Euclidian Distance
QUESTIONIt requires replacing the raw value of data with its z-score. - ANSWER~Euclidian Distance
QUESTIONThe lower the measure the better - ANSWER~Euclidian Distance
QUESTIONIt is for categorical Data - ANSWER~Matching Coefficient
