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Data Interpretation Test

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Type

Cognitive Ability

Time

10 minutes

Level

Medium

Questions

10

About the Test

A data interpretation assessment is a pre-employment aptitude test used by businesses to assess individuals’ data interpretation ability.

The process of reviewing data and arriving at meaningful conclusions using various analytical approaches is referred to as data interpretation. This is a vital ability for sales, finance, and IT employees who must generate reports, extract data and make conclusions. It also assists researchers in categorizing, manipulating, and summarizing information to answer crucial issues.

Data interpretation is the process of analyzing and making sense of data. It involves extracting insights and information from data and identifying trends, patterns, and relationships in the data. Data interpretation is used in a variety of settings, including academic research, business, and government, to help decision-makers understand and make use of data to inform their decisions.

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Skills Measured

  • Pie Chart
  • Bar Chart
  • Percentage of increase-decrease problems
  • Ratio- proportion problems on the data

Roles

  • Data Scientist
  • Data Analyst
  • Research Analyst
  • Lead –Data Analyst
  • Associate data analyst
  • Business Analyst
  • Financial Analyst
  • Sales Analyst
  • Investment Analyst

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1

Pie Chart

A pie chart is a type of chart that displays data as a circular diagram, with each data series represented by a different slice of the pie. Pie charts are used to visualize data that can be divided into categories or proportions, such as the market share of different companies or the percentage of a budget that is allocated to different categories.

2

Bar Chart

A bar chart is a type of chart that displays data as horizontal or vertical bars. Each bar represents a different data series, and the length of the bar represents the value of the data. Bar charts are often used to compare data across categories or to show changes over time.

3

Percentage of increase-decrease problems

Percentage of increase-decrease problems involve calculating the percentage change between two values. For example, if the value of a stock increased from $100 to $110 over a period of time, the percentage increase would be calculated as (110-100)/100 = 10%.

4

Ratio- proportion problems

Ratio-proportion problems involve solving for an unknown value using ratios and proportions. For example, if the ratio of apples to oranges is 3:4, and there are 12 apples, the number of oranges can be calculated by setting up a proportion: 3/4 = x/12. Solving this proportion would give x = 9, which is the number of oranges. Ratio-proportion problems are often used to solve for unknown quantities in data interpretation.

The test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

View sample score cards

Top five hard skills interview questions for Data Interpretation

1. Can you describe your experience with statistical analysis and modeling techniques?
Why this Matters?

Data interpretation professionals must have a strong foundation in statistics and be able to use statistical models to analyze data and extract insights.

What to listen for?

Listen for the candidate to describe their experience with statistical analysis techniques such as regression analysis, hypothesis testing, and time series analysis. Pay attention to their understanding of statistical models such as linear regression, logistic regression, and decision trees, and their ability to explain statistical concepts in simple terms.

2. Can you describe your experience with data visualization tools and techniques?
Why this Matters?

Data interpretation professionals must be able to communicate insights effectively through data visualization and storytelling.

What to listen for?

Listen for the candidate to describe their experience with data visualization tools such as Tableau, Power BI, or D3.js. Pay attention to their understanding of data visualization best practices and design principles, and their ability to create clear and effective visualizations that communicate insights.

3. Can you describe your experience with data cleansing and transformation techniques?
Why this Matters?

Data interpretation professionals must be able to work with messy or incomplete data and transform it into a format that is suitable for analysis.

What to listen for?

Listen for the candidate to describe their experience with data cleansing techniques such as outlier detection, imputation, and data normalization. Pay attention to their understanding of data cleaning best practices, and their ability to explain how they would handle different types of data quality issues.

4. Can you describe your experience with machine learning algorithms and techniques?
Why this Matters?

Data interpretation professionals must be able to use machine learning algorithms to extract insights from large and complex data sets.

What to listen for?

Listen for the candidate to describe their experience with machine learning algorithms such as clustering, classification, and regression. Pay attention to their understanding of machine learning concepts such as feature selection, cross-validation, and model interpretation, and their ability to explain how they would approach different types of machine learning problems.

5. Can you describe your experience with SQL and other data querying languages?
Why this Matters?

Data interpretation professionals must be able to extract data from databases and manipulate it for analysis.

What to listen for?

Listen for the candidate to describe their experience with SQL and other data querying languages such as Python or R. Pay attention to their understanding of database concepts such as joins, aggregations, and subqueries, and their ability to write complex queries that extract and transform data for analysis.

Frequently Asked Questions for Data Interpretation

The Data Interpretation assessment is a test that assesses a person’s ability to understand and analyze various types of data, including numerical, statistical, and graphical data. This assessment evaluates a person’s skills in interpreting data and using it to draw conclusions or make predictions.

The Data Interpretation assessment can be used by recruiters and hiring managers to evaluate a candidate’s ability to calculate averages or ratios, identify trends or patterns in data, or make predictions based on the data.

  • Data Scientist
  • Data Analyst
  • Research Analyst
  • Lead –Data Analyst
  • Associate data analyst
  • Business Analyst
  • Financial Analyst
  • Sales Analyst
  • Investment Analyst

  • Pie Chart
  • Bar Chart
  • Percentage of increase-decrease problems
  • Ratio- proportion problems on the data

Data interpretation is the process of analyzing and making sense of data. It is used to extract insights and information from data, and to identify trends, patterns, and relationships in the data.

Frequently Asked Questions (FAQs)

Want to know more about Testlify? Here are answers to the most commonly asked questions about our company.

These are ready-made tests, existing in our test library, created by subject matter experts. We have 200+ such skills tests covering various skills from programming skills to DevOps, including Aptitude and Personality testing.

You can go to the ‘Test Library’ tab and search for tests from the Job Role or Test Type drop-down menu.

Currently, we do not offer any sample tests. However, when you select a test, there would be a few practice questions before the start of the actual test, which would give you a fair idea of how the entire test would look.

Our tests typically take between 25-30 minutes to complete.

In case you need to test for a unique skill-set or specialized experience, you can add your own questions and customize the test to suit your requirements.

We’ve put a lot of effort into ensuring a conducive test environment. A stable internet connection, an internet browser with cookies and Java-Script enabled is all that is required!
However, for a smooth test-taking process, we recommend the following browsers:
– Google Chrome
– Internet Expl
– Mozilla Firefox

Yes, our tests are compatible with almost all modern mobile devices (including tablets) that have a webcam installed.

Yes, our tests are EEOC (Equal Employment Opportunity Commission) compliant and are whetted by subject matter experts, thus having high reliability (test consistency) and validity (accuracy of the test).

Yes! We integrate with popular recruiting tools such as Greenhouse, Lever, GoodTime, and many more.

We are GDPR compliant and take data security very seriously. You have complete ownership of your data. All your data is safe and secure, and we do not expose it to any third party.

Testlify is an excellent tool for assessing candidates’ soft and hard skills. The founder and customer success team were helpful during onboarding and demonstrated a commitment to continuously improving the platform.
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Founder, ExpHire
Testlify’s integration with ATS makes it simple to incorporate into recruitment processes. Customizable test suites, open-ended questions, and qualifying questions streamline the candidate assessment process and improve collaboration with hiring managers. 
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 Founder, White
A must-have tool in any HR department! Well thought out a comprehensive platform that shortens the candidate selection time significantly.
Meir Shachar
CEO at PowerLinx
With Testlify, we were able to optimize our initial screening process by upwards of 75%.
We saved a tremendous amount
Gary E. Benedik
President, Arch Advisory Group
Testlify has revolutionized our hiring process by streamlining the screening stage. It has saved us countless hours by allowing us to shortlist the right candidates.
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CEO at Sookshum Labs

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