BUSINESS ANALYTICS 3RD EDITION EVANS
CHAPTERS ONE THROUGH SIXTEEN FULL
TEST BANK COMPLETE QUESTIONS AND
CORRECT ANSWERS GRADED A PLUS
⩥ Why business analytics matters.
Answer: It helps businesses use evidence instead of guesses, find
patterns, and improve decisions.
⩥ Confirmation bias.
Answer: Only noticing data that supports what you already believe.
⩥ Availability bias.
Answer: Overweighting information that is recent, dramatic, or easy to
remember.
⩥ Overconfidence bias.
Answer: Trusting intuition too much without checking the data.
⩥ Selection bias.
Answer: Using data from a sample that does not represent the full
population.
, ⩥ Numerical variable.
Answer: A variable made of numbers that can be calculated, such as
income or age.
⩥ Dummy variable.
Answer: A 0/1 variable representing yes/no or whether a condition is
true.
⩥ Categorical variable.
Answer: A variable that sorts observations into groups, such as region or
department.
⩥ String variable.
Answer: Text data, such as names, product titles, cities, or emails.
⩥ Outlier.
Answer: A value that is unusually high or low compared with the rest of
the data.
⩥ How to identify outliers.
Answer: Use sorting, graphs, averages, standard deviation, z-scores, or
pivot tables.
CHAPTERS ONE THROUGH SIXTEEN FULL
TEST BANK COMPLETE QUESTIONS AND
CORRECT ANSWERS GRADED A PLUS
⩥ Why business analytics matters.
Answer: It helps businesses use evidence instead of guesses, find
patterns, and improve decisions.
⩥ Confirmation bias.
Answer: Only noticing data that supports what you already believe.
⩥ Availability bias.
Answer: Overweighting information that is recent, dramatic, or easy to
remember.
⩥ Overconfidence bias.
Answer: Trusting intuition too much without checking the data.
⩥ Selection bias.
Answer: Using data from a sample that does not represent the full
population.
, ⩥ Numerical variable.
Answer: A variable made of numbers that can be calculated, such as
income or age.
⩥ Dummy variable.
Answer: A 0/1 variable representing yes/no or whether a condition is
true.
⩥ Categorical variable.
Answer: A variable that sorts observations into groups, such as region or
department.
⩥ String variable.
Answer: Text data, such as names, product titles, cities, or emails.
⩥ Outlier.
Answer: A value that is unusually high or low compared with the rest of
the data.
⩥ How to identify outliers.
Answer: Use sorting, graphs, averages, standard deviation, z-scores, or
pivot tables.
