Data Science Applications

Analyzing sales data, a retail company noticed a decline in sales during certain months. What should be the first step in using data science to address this issue?

• Increase advertising budget without analyzing the data.

• Perform a time series analysis to identify any seasonal trends or patterns in the sales data.

• Change the store layout based on management's intuition.

• Hire more sales staff without considering the underlying data.

Tags

CCSS.HSS.IC.B.3

In the context of the transportation industry, which example best shows a data scientist's contribution?

• Designing vehicle prototypes without considering user data.

• Analyzing traffic data to optimize public transportation routes and reduce congestion.

• Overseeing the maintenance schedules of transportation vehicles.

• Creating marketing materials for a transportation company's new service.

Which method is most effective for organizing a large set of survey responses for easy analysis?

• Keep the responses in multiple unorganized text files.

• Use a spreadsheet or database to structure the responses into rows and columns, with each column representing a survey question and each row representing an individual response.

• Write each response on a separate sheet of paper.

• Summarize the responses in a single paragraph.

Which of the following is an essential step before beginning to analyze data?

• Randomly modifying entries in the dataset.

• Removing duplicate entries and standardizing values.

• Creating a data visualization to predict trends.

• Selecting a sample dataset without checking its source.

A company wants to evaluate the effectiveness of its new advertising campaign. Which data collection method should be used, and why?

• Surveys and feedback forms

• Sales data analysis

• Social media engagement metrics

• Focus groups

A researcher needs to collect health data from participants while ensuring ethical standards are met. What should they do?

• Collect data without informing participants.

• Obtain informed consent from participants and ensure data is securely stored and anonymized.

• Pay for participant's health data from a third party.

• Ignore privacy concerns for faster data collection.

What characteristic makes a data question Investigative?

• It matches what the data is about.

• It is clear and to the point, without the use of broad, subjective language.

• It leads to actions or decisions.

• It can be broken down to get clear answers.

An online retailer has been found to be using customer purchase data without explicit consent to create targeted marketing campaigns. Which data rights are being violated and what actions should the company take to rectify the situation?

• A. Right to privacy and consent; the company should obtain explicit consent from customers, and only use data for those who opt-in to data collection.

• B. Right to data access; the company should allow customers to view their data and ensure that they have control over how it is used.

• C. Right to data portability; the company should allow customers to transfer their data to another service provider if they choose to do so.

• D. Right to be forgotten; the company should delete all customer data immediately upon request to comply with data protection regulations.

What is a key element of effective data storytelling?

• Using technical jargon.

• Including clear visuals and narratives.

• Presenting only raw data.

• Focusing on complex algorithms.

Tags

CCSS.RI.6.7

CCSS.RI.7.7

CCSS.RI.8.7

CCSS.RL.6.7

CCSS.RL.7.7

What is an example of a specific and measurable data-driven question for a retail business?

• How can we improve overall sales performance across different regions?

• Why do customers prefer certain products over others in our stores?

• What is the average sales growth rate per quarter for each product category?

• What are the common customer preferences across different age groups?

Tags

CCSS.6.SP.A.3