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1.The importance of integrity.
Question 1
Which of the following conditions are necessary to ensure data integrity? Select all that apply.
- Statistical power
- Completeness
- Accuracy
- Privacy
Accuracy and completeness are necessary to ensure data integrity.
Question 2
What is one potential problem associated with data manipulation that analysts must be aware of?
- Data manipulation can help organize a dataset.
- Data manipulation can separate a dataset among different locations.
- Data manipulation can make a dataset easier to read.
- Data manipulation can introduce errors.
Data manipulation is the process of changing data to make it more organized and easier to read. However, it can sometimes introduce errors.
Question 3
A data analyst is given a dataset for analysis. It includes data about the total population of every country in the previous 20 years. Based on the available data, an analyst will be able to determine which country was the most populous from 2016 to 2017.
- True
- False
Based on the available data, an analyst will be able to determine which country was the most populous from 2016 to 2017.
Question 4
A data analyst is given a dataset for analysis.
June 2014 Invoices - Sheet1.csv
Which of the following has duplicate data?
- Data for Valando on 2/18/2014
- Data for Valando on 1/1/2014
- Data for Symteco on 5/20/2014
- Data for Symteco on 2/21/2014
Valando on 2/18/2014 contains duplicate data because the spreadsheet contains the same data in two different rows.
Question 5
A data analyst is working on a project about the global supply chain. They have a dataset with lots of relevant data from Europe and Asia. However, they decide to generate new data that represents all continents. What type of insufficient data does this scenario describe?
- Data that keeps updating
- Data that's outdated
- Data that's geographically limited
- Data from only one source
This example describes data that is insufficient because it’s geographically limited. If the analytics project has a global focus, the dataset should also be global.
Question 6
A car manufacturer wants to learn more about the brand preferences of electric car owners. There are millions of electric car owners in the world. Who should the company survey?
- A sample of car owners who most recently bought an electric car
- A sample of all electric car owners
- A sample of car owners who have owned more than one electric car
- The entire population of electric car owners
The company should survey a sample of all electric car owners.
Question 7
Fill in the blank: Sampling bias in data collection happens when a sample isn’t representative of _____.
- a dataset about the population
- the population most affected by the data
- a subset of the population
- the population as a whole
Sampling bias in data collection happens when a sample isn’t representative of the population as a whole.
Question 8
Which of the following processes helps ensure a close alignment of data and business objectives?
- Completing data replication
- Transferring data multiple times
- Having data update automatically during analysis
- Maintaining data integrity
Maintaining data integrity helps ensure a close alignment of data and business objectives because the data is likely to be accurate, complete, consistent, and trustworthy.
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