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There are four widely used categories of data analytics. Choose the best description for prescriptive analytics.


A) Looks at historical data and condenses it into smaller, more meaningful bits of information
B) Drills down to a granular level
C) Provides powerful tools that assist in decision making and inform future actions
D) Requires advanced programming

E) C) and D)
F) B) and D)

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Maeve is a freshman outfielder on the softball team. Her softball coach tells her that the more hours she practices hitting in the batting cage and on the field, the higher her batting average will be during the season. What is the dependent variable?


A) The number of pitches she faces
B) The spikes she wears
C) Her batting average
D) The hours of practice she does

E) A) and B)
F) A) and C)

Correct Answer

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What is also known as outlier analysis and reveals observations or events that are outside a data set's normal behavior?


A) Quantitative values
B) Categorical values
C) Exploratory data analytics
D) Anomaly detection

E) B) and D)
F) All of the above

Correct Answer

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When you request a ride service to drive you from point A to point B, what type of analytics are you practicing?


A) Process mining
B) Network analysis
C) Geospatial analytics
D) Natural language processing

E) None of the above
F) A) and B)

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The "lower confidence bound" and "upper confidence bound" Are part of what?


A) Forecasting
B) A confidence interval
C) Break-even analysis
D) A simulation

E) A) and C)
F) None of the above

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What is a popular simulation that predicts the probability of different outcomes in the presence of many random variables?


A) Monte Carlo simulation
B) Forecasting
C) A confidence interval
D) Break-even analysis

E) C) and D)
F) A) and B)

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Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in personal finances?

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Monte Carlo simulation can simulate inve...

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In cluster analysis, the Machine Learning (ML) algorithm finds similarities between the data points to group them together without human intervention. There are many business uses for clustering. Describe an example of clustering in the public health field.

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There are many examples. One such exampl...

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Geospatial analytics is a technique that gathers, transforms, and visualizes geographic data and imagery, including satellite photographs, Global Positioning System (GPS) coordinates, and more. Give an example of how geospatial analytics could be used in the delivery industry.

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Amazon delivery trucks use GPS so custom...

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Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in investment firms?

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Monte Carlo can predict the va...

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Any part of the business that captures event data is a candidate for process mining. Give an example of how process mining could be used in Information Technology (IT)?

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Events for IT requests can be analyzed f...

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You are presented with a data set of 6 test scores: 47, 46, 46, 44, 43 and 26. What is the average test score?


A) 46
B) 44
C) 42
D) 26

E) A) and B)
F) A) and C)

Correct Answer

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The first step in analyzing a data set is learning about its data. Besides discovering patterns, exploration can find unexpected data points. What are these data points called that fall outside the data set's norm?


A) Categorical values
B) Quantitative values
C) Patterns
D) Anomalies

E) B) and C)
F) A) and B)

Correct Answer

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Choose from the definitions below the best definition of sentiment analysis.


A) Sentiment analysis uses data to show what individuals, systems, and machines are doing in a visual format.
B) Sentiment analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create.
C) Sentiment analysis uses NLP to interpret and classify the emotions underneath language in a text format.
D) Sentiment analysis is a technique that gathers, transforms, and visualizes geographic data and imagery.

E) A) and C)
F) None of the above

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Natural language processing (NLP) is a form of textual analysis that gathers, processes, and interprets meaning from human language. Sentiment analysis is a complex and advanced data analytics technique. Give an example of how natural language processing (NLP) could be used with board meeting minutes.

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NLP and sentiment analysis can extract m...

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What is a popular method of summarizing smaller data sets in Excel?


A) Pivot table
B) Group by
C) Summarize
D) Dragging field names to the appropriate locations

E) All of the above
F) A) and B)

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There are four widely used categories of data analytics. Choose the best description for predictive analytics.


A) Looks at historical data and condenses it into smaller, more meaningful bits of information
B) Drills down to a granular level
C) Provides powerful tools that assist in decision making and inform future actions
D) Requires advanced programming

E) All of the above
F) B) and D)

Correct Answer

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________ is additional movements in the time series data that cannot be explained as a trend or seasonality. A drastic spike in revenue at the end of February due to a large customer order for a one-time event is an example of


A) A dependent variable
B) A time trend
C) Seasonality
D) Noise

E) B) and C)
F) A) and B)

Correct Answer

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Businesses like to use a ________ confidence interval when they perform forecasting.


A) 25%
B) 35%
C) 75%
D) 95%

E) B) and D)
F) B) and C)

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Choose from the definitions below the best definition of textual analysis.


A) Textual analysis is a category of data analytics techniques used to interpret objects that include words.
B) Textual analysis uses data to show what individuals, systems, and machines are doing in a visual format.
C) Textual analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create.
D) Textual analysis is a technique that gathers, transforms, and visualizes geographic data and imagery.

E) All of the above
F) B) and D)

Correct Answer

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