The correct statement concerning secondary data is:
data that is collected and already exists.
Secondary data refers to information that has been collected by someone else for a different purpose and is being used for a new analysis or study.
Which of the following is true concerning secondary data?(1 point)
Responses
data that is collected and already exists
data that is collected and already exists
data that is invalid or unorganized
data that is invalid or unorganized
data expressed by focus groups
data expressed by focus groups
data collected by the researcher
9 answers
As a result of the digital age, which is considered a valuable resource?(1 point)
Responses
internet
internet
websites
websites
big data
big data
data
Responses
internet
internet
websites
websites
big data
big data
data
The correct answer is:
big data.
In the digital age, big data is considered a valuable resource because it encompasses vast amounts of data collected from various sources that can be analyzed for patterns, trends, and insights, providing significant value for decision-making and strategy development.
Which of the following is a primary role of data sets?(1 point)
Responses
to build unpredictive models
to build unpredictive models
to generate unorganized data sets
to generate unorganized data sets
to give information that is easily sorted and ranked
to give information that is easily sorted and ranked
to predict the model
Responses
to build unpredictive models
to build unpredictive models
to generate unorganized data sets
to generate unorganized data sets
to give information that is easily sorted and ranked
to give information that is easily sorted and ranked
to predict the model
The correct answer is:
to give information that is easily sorted and ranked.
Data sets are primarily structured collections of data that can be organized in ways that allow for easy sorting, ranking, and analysis, which helps in extracting meaningful insights.
When a data scientist is writing advanced predictive analytics or machine learning (ML) algorithms, why is it important to visualize the outputs?(1 point)
Responses
to monitor results and make sure that models are performing as planned
to monitor results and make sure that models are performing as planned
to replace complex interpretations of numerical outputs
to replace complex interpretations of numerical outputs
to offer alternative views, enhancing trust
to offer alternative views, enhancing trust
to make the meeting more interesting
Responses
to monitor results and make sure that models are performing as planned
to monitor results and make sure that models are performing as planned
to replace complex interpretations of numerical outputs
to replace complex interpretations of numerical outputs
to offer alternative views, enhancing trust
to offer alternative views, enhancing trust
to make the meeting more interesting
The correct answer is:
to monitor results and make sure that models are performing as planned.
Visualizing the outputs of predictive analytics and machine learning algorithms is crucial for understanding model performance, identifying anomalies, and ensuring that the models are functioning as intended.
How does data visualization aid in identifying patterns or trends within a complex data set?(1 point)
Responses
by contributing to advanced analytics of the data
by contributing to advanced analytics of the data
by reducing insignificant data and emphasizing the most important points
by reducing insignificant data and emphasizing the most important points
by explaining the changes and describe the implications of the data
by explaining the changes and describe the implications of the data
by showing the minutiae and details of the data
Responses
by contributing to advanced analytics of the data
by contributing to advanced analytics of the data
by reducing insignificant data and emphasizing the most important points
by reducing insignificant data and emphasizing the most important points
by explaining the changes and describe the implications of the data
by explaining the changes and describe the implications of the data
by showing the minutiae and details of the data
The correct answer is:
by reducing insignificant data and emphasizing the most important points.
Data visualization helps to simplify complex data sets by highlighting significant patterns and trends, making it easier to understand key insights and focus on the most important information.
9 answers