MY D204 WGU STUDY SET
UPDATED ACTUAL QUESTIONS WITH
CORRECT ANSWERS
Question 1.
What type of graph shows frequency or interaction using a range of colors?
ANSWER
Heatmap
Question 2.
Which is a technique that allows us to predict an outcome (either numerical or categorical) based on a
set of predictor variables?
Examples of use would be house pricing, sales, and a person's weight, churn of employees.
ANSWER
Regression
Question 3.
What type of graph allows a way to graph numerical data in "groups" or bins that allow bars to
represent frequencies? These graphs also best show outliers in data and skewness (asymmetry of the
,data).
ANSWER
histogram
Question 4.
If an analyst wants to help create an online store that intelligently recommends certain products for
customers to buy, what type of analysis would they be focusing on?
ANSWER
Predictive (because they are predicting FUTURE habits)
Question 5.
What is the term for this question: How can we make it happen?
ANSWER
Prescriptive Analytics
Question 6.
Google Trends is an example of what kind of data?
ANSWER
Open Data --> Social Media
Question 7.
Which is a technique in which the analyst wants to assign an item to a specific category based on
various conditions? This technique also identifies an unknown object among known groups.
Examples of this would be object detection, spam detection, and cancer detection
, LOCATE, COMPARE, ASSIGN
ANSWER
Classification
Question 8.
What is "Tidy Data" and what does it consist of?
ANSWER
Properly prepared and easy to interpret data.
Column = variable
Row = case
One sheet per file
One level of observation
Question 9.
What type of curve starts off big in the beginning and then tapers off toward the end?
ANSWER
Positive skew
Valuation at companies, the cost of houses
UPDATED ACTUAL QUESTIONS WITH
CORRECT ANSWERS
Question 1.
What type of graph shows frequency or interaction using a range of colors?
ANSWER
Heatmap
Question 2.
Which is a technique that allows us to predict an outcome (either numerical or categorical) based on a
set of predictor variables?
Examples of use would be house pricing, sales, and a person's weight, churn of employees.
ANSWER
Regression
Question 3.
What type of graph allows a way to graph numerical data in "groups" or bins that allow bars to
represent frequencies? These graphs also best show outliers in data and skewness (asymmetry of the
,data).
ANSWER
histogram
Question 4.
If an analyst wants to help create an online store that intelligently recommends certain products for
customers to buy, what type of analysis would they be focusing on?
ANSWER
Predictive (because they are predicting FUTURE habits)
Question 5.
What is the term for this question: How can we make it happen?
ANSWER
Prescriptive Analytics
Question 6.
Google Trends is an example of what kind of data?
ANSWER
Open Data --> Social Media
Question 7.
Which is a technique in which the analyst wants to assign an item to a specific category based on
various conditions? This technique also identifies an unknown object among known groups.
Examples of this would be object detection, spam detection, and cancer detection
, LOCATE, COMPARE, ASSIGN
ANSWER
Classification
Question 8.
What is "Tidy Data" and what does it consist of?
ANSWER
Properly prepared and easy to interpret data.
Column = variable
Row = case
One sheet per file
One level of observation
Question 9.
What type of curve starts off big in the beginning and then tapers off toward the end?
ANSWER
Positive skew
Valuation at companies, the cost of houses
