PRACTICE QUIZ
Fill in the blank: Data _____ refers to the accuracy, completeness, consistency, and trustworthiness of data throughout its life cycle.
Data integrity is the accuracy, completeness, consistency, and trustworthiness of data throughout its life cycle.
A healthcare company keeps copies of their data at several locations across the country. The data becomes compromised because each location creates a copy of the original at different times of day. Which of the following processes caused the compromise?
Data replication caused the compromise. Data replication is the process of storing data in multiple locations. If not done properly, replication can compromise integrity and cause inconsistencies.
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 would be able to determine the reasons behind a certain country's population increase from 2016 to 2017.
Based on the available data, the analyst would need more data to determine the reasons behind the population increase.
A data analyst is given a dataset for analysis. To use the template for this dataset, click the link below and select “Use Template.” Link to template: June 2014 Invoices OR If you don’t have a Google account, download the CSV file directly from the attachment below. The analyst notices a limitation with the data in rows 8 and 9. What is the limitation?
Row 9 is a duplicate of row 8. Duplicate data is a limitation because it will lead to faulty analysis.
A data analyst at a nonprofit organization is working with a dataset about a summer fundraiser. Although they have a lot of useful data by the end of the month, they recognize that the data is insufficient. So, they decide to wait until the end of the season to begin working with the dataset. Which type of insufficient data does this example describe?
This example describes insufficient data that keeps updating. If a dataset keeps updating, that means the data is still incoming and might be incomplete.
In the data analysis process, how does a sample relate to a population?
A sample relates to a population by representing a population at a smaller scale.
Fill in the blank: Sampling bias in data collection happens when a sample isn’t representative of _____.
Sampling bias in data collection happens when a sample isn’t representative of the population as a whole.
Sometimes during analysis, an analyst discovers that it’s necessary to adjust the business objective. When this happens, the analyst should take the initiative to do so without involving others in order to be respectful of their time.
If a data analyst believes the business objective should be adjusted, it’s important to first have a discussion with stakeholders.
A data analyst is given a dataset for analysis. It includes data about the total population of every country in the previous 20 years. Which of the following questions would the analyst need more data to address?
The analyst would need more data to identify the reason for a population increase.
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?
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.
A restaurant wants to gather data about a new dish by giving out free samples and asking for feedback. Who should the restaurant give samples to?
The restaurant should give samples to all diners.
Which of the following conditions are necessary to ensure data integrity? Select all that apply.d)
Accuracy and completeness are necessary to ensure data integrity.
A data analyst is given a dataset for analysis. It includes data about the total population of every country in the previous 20 years. Which of the following questions can the analyst use this dataset to address? Select all that apply.
The analyst could use the dataset to find the average population of a certain country from 2015 through 2020 and the difference in population between two specific countries in 2018.
A data analyst at a software company wants to learn more about industry competitors. Because the software industry has more mergers than any other field, the companies and their products are constantly evolving. The analyst has a dataset from three years ago, and they notice that many of the companies and products in the dataset have changed. What makes the analyst decide that the data is insufficient, so they should generate fresh data instead?
This example describes outdated data, which is insufficient. If a dataset is outdated, that means the data is old and probably no longer relevant.
Fill in the blank: If a data analyst is using data that has been _____, the data will lack integrity and the analy) sis will be faulty.
If a data analyst is using data that has been compromised, the data will lack integrity and the analysis will be faulty.
A financial analyst imports a dataset to their computer from a storage device. As it’s being imported, the connection is interrupted, which compromises the data. Which of the following processes caused the compromise?
Data transfer caused the compromise. When a data transfer is interrupted, it can result in an incomplete dataset.
A data analyst is given a dataset for analysis. To use the template for this dataset, click the link below and select “Use Template.” Link to template: June 2014 Invoices OR If you don’t have a Google account, download the CSV file directly from the attachment below. Rows 10 and 11 contain duplicate data.
Rows 10 and 11 do not contain duplicate data.
A restaurant gathers data about a new dish by providing free samples to parties of six or more diners. What does this scenario describe?
This scenario describes sampling bias because parties of six or more are not representative of the population as a whole.
Which of the following processes helps ensure a close alignment of data and business objectives?
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.
When gathering data through a survey, companies can save money by surveying 100% of a population.
Using 100% of a population is ideal, but it can be very expensive to gather data from an entire population.
Data and business objectives might not align for a number of reasons. Which of the following issues can prevent alignment? Select all that apply.
Insufficient data and sampling bias can prevent alignment.
Fill in the blank: As a data analyst, you need to verify that your data is _____ to ensure your analysis and conclusions are accurate.
A data analyst is given a dataset for analysis. To use the template for this dataset, click the link below and select “Use Template.” Link to template: June 2014 Invoices OR If you don’t have a Google account, download the CSV file directly from the attachment below. Which of the following has duplicate data?
A clothing manufacturer wants to learn more about why their consumers have purchased the brand’s products. How should this manufacturer conduct their survey?
A car dealership gathers data about their entire customer population. They decide to conduct a survey to understand why their customers chose their dealership. They send out an email to all customers who have purchased more than two vehicles in the past five years. What does this scenario describe?
What can jeopardize data integrity throughout its lifecycle? Select all that apply.
A data analyst needs to migrate data from a server located at their company's headquarters to a remote site. This can lead to what type of data integrity issue? Select all that apply.
A data analyst, working for a publishing company, gathers a dataset which includes all books sold in the United Kingdom over the last three years. However, they decide to generate new data that represents global book sales. What type of insufficient data does this scenario describe?
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?
What best describes a sample size?
Fill in the blank: In order to have a strong and thorough analysis, a data analyst must verify _____.
You are working for a global technology company. You have a dataset with the company’s total cell phone sales by country from 2015 to present. Based on the data you have, what questions are you able to answer?
A data analyst is working on a project around a national supply chain. They have a dataset with lots of relevant data from about half of the country. However, they decide to generate new data that represents the entire nation. What type of insufficient data does this scenario describe?
A company has multiple retail chain stores. Each store’s database is located onsite and used for various purposes. Which of the following processes could compromise data integrity?
A data analyst is given a dataset for analysis. To use the template for this dataset, click the link below and select “Use Template.” Which of the following are limitations of this dataset? Select all that apply.
A high school principal is estimating the total number of students that will attend an upcoming event. She assumes that the older students are unlikely to attend and decides to only survey the first-year students. What issue will the principal face when calculating her estimation?
Fill in the blank: _____ is the process of changing data to make it more organized and easier to read.
A company is trying to learn more about their customer base. They would like to conduct a survey to understand why their customers chose their brand. How should the company survey its customers?
A candy manufacturer finds an even distribution of sales across all age ranges of customers who purchase their products. The manufacturer decides to conduct a survey to learn more about its customer base. Due to age requirements, they can only send the survey to customers who are 21 years or older. This scenario can be described as what?
A data analyst retrieves a sample of their data that is roughly representative of the population as a whole. They realize that there will be some error in their sample results because they didn’t sample the entire population. What is this error called?
Ready to test your recall?
Fill in the blank: Data _____ refers to the accuracy, completeness, consistency, and trustworthiness of data throughout its life cycle.
How confident are you in this answer?