Week 2

Question 4 Return on Investment (ROI) uses which of the following metrics in its definition? Inventory and units Sales and margin Profit and investment Supply and demand

Profit and investment

Question 3 Describe the difference between data and metrics. Data is a collection of facts. Metrics are quantifiable data types used for measurement. Data is quantifiable and used for measurement. Metrics are unorganized collections of facts. Data is quantifiable. Metrics are unquantifiable. Data can be used for measurement. Metrics cannot be used for measurement.

Data is a collection of facts. Metrics are quantifiable data types used for measurement.

The amount of exercise time it takes for a single person to burn a minimum of 400 calories is a problem that requires big data. True False

False

Question 2 Fill in the blank: Data-inspired decision-making deals with exploring different data sources to find out _____. how they can drive business decisions if they are based on facts or opinions what they have in common how they have changed over time

what they have in common

In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task. True False

False

Question 4 If someone is subjectively describing their feelings or emotions, it is qualitative data. True False

True

Question 3 Which of the following examples describes using data to achieve business results? Select all that apply. A large retailer performs data analysis on product purchases to create better promotions. A video streaming service analyzes user preferences to customize movie recommendations. A movie theater tracks the number of weekend movie goers for three months. A grocery chain collects data on sale items and pricing from each store.

A large retailer performs data analysis on product purchases to create better promotions. A video streaming service analyzes user preferences to customize movie recommendations.

Question 2 In data analytics, how are dashboards different from reports? Dashboards are used to share updates with stakeholders only periodically. Reports give stakeholders continuous access to data. Dashboards provide a high-level presentation of historical data. Reports provide a more detailed presentation of live, interactive data. Dashboards contain static data. Reports contain data that is constantly changing. Dashboards monitor live, incoming data from multiple datasets and organize the information into one central location. Reports are static collections of data.

Dashboards monitor live, incoming data from multiple datasets and organize the information into one central location. Reports are static collections of data.

Question 1 What is the difference between qualitative and quantitative data? Qualitative data is about the quality of a product or service. Quantitative data is about how much of that product or service is available. Qualitative data can be used to measure qualities and characteristics. Quantitative data can be used to measure numerical facts. Qualitative data is specific. Quantitative data is subjective. Qualitative data describes the kind of data being analyzed. Quantitative data describes how much data is being analyzed.

Qualitative data can be used to measure qualities and characteristics. Quantitative data can be used to measure numerical facts.

Describe the key differences between small data and big data. Select all that apply. Small data is typically stored in a database. Big data is typically stored in a spreadsheet. Small data involves datasets concerned with a small number of specific metrics. Big data involves datasets that are larger and less specific. Small data focuses on short, well-defined time periods. Big data focuses on change over a long period of time. Small data is effective for analyzing day-to-day decisions. Big data is effective for analyzing more substantial

Small data involves datasets concerned with a small number of specific metrics. Big data involves datasets that are larger and less specific. Small data focuses on short, well-defined time periods. Big data focuses on change over a long period of time. Small data is effective for analyzing day-to-day decisions. Big data is effective for analyzing more substantial

Question 2 Which of the following is an example of small data? The number of steps someone walks in a day The total absences of all high school students The bed occupancy rate for a hospital for the past decade The trade deficit between two countries over a hundred years

The number of steps someone walks in a day

Question 1 Fill in the blank: Pivot tables in data processing tools are used to _____ data. summarize populate clean validate

summarize