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Data Interpretation Assessment Test

The data interpretation test evaluates a candidate's ability to analyze complex data, extract meaningful insights and structure observations from multiple data sources like tables, charts and graphs.

Covered skills:

  • Reading data
  • Drawing inferences
  • Interpreting Graphs
  • Analyzing Charts
  • Analyzing Tables
  • Data Visualization
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About the Data Interpretation Test


The Data Interpretation Assessment Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Reading and interpreting data accurately
  • Drawing logical inferences from data
  • Analyzing and interpreting graphs effectively
  • Analyzing and interpreting charts accurately
  • Analyzing and interpreting tables efficiently
  • Data visualization skills to present information effectively

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Use Adaface tests trusted by recruitment teams globally. Adaface skill assessments measure on-the-job skills of candidates, providing employers with an accurate tool for screening potential hires.

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Non-googleable questions


We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this Data Interpretation Assessment Test will be non-googleable.

🧐 Question

Medium

Dividends
Financial Analysis
Percentage and Average Calculations
Solve
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
 image
 image

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning
Cost Price Ratio Calculation
Percentage Profit Calculation
Solve
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
 image

Hard

Median
Trend Analysis
Statistical Reasoning
Median Calculation
Percentage Change Calculation
Solve
 Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
 image
🧐 Question🔧 Skill

Medium

Dividends
Financial Analysis
Percentage and Average Calculations

3 mins

Data Interpretation
Solve

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning
Cost Price Ratio Calculation
Percentage Profit Calculation

2 mins

Data Interpretation
Solve

Hard

Median
Trend Analysis
Statistical Reasoning
Median Calculation
Percentage Change Calculation

3 mins

Data Interpretation
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Dividends
Financial Analysis
Percentage and Average Calculations
Data Interpretation
Medium3 mins
Solve
Laptop Brands
Proportions and Percentages
Financial Reasoning
Cost Price Ratio Calculation
Percentage Profit Calculation
Data Interpretation
Medium2 mins
Solve
Median
Trend Analysis
Statistical Reasoning
Median Calculation
Percentage Change Calculation
Data Interpretation
Hard3 mins
Solve
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Why you should use Pre-employment Data Interpretation Assessment Test?

The Data Interpretation Assessment Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Analyzing and interpreting data sets
  • Drawing meaningful inferences from data
  • Understanding and interpreting graphs and charts
  • Analyzing and interpreting tables
  • Visualizing data through various techniques
  • Applying statistical analysis to interpret data
  • Identifying patterns and trends in data
  • Applying data analysis techniques to solve problems
  • Understanding data visualization principles
  • Performing data-driven decision making

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Interpretation Assessment Test?

Reading data: Reading data refers to the ability to understand and comprehend information presented in a numerical or textual format. This skill is important as it allows individuals to extract meaningful insights from data, enabling them to make informed decisions and solve complex problems.

Drawing inferences: Drawing inferences involves using data and information to reach logical conclusions or make educated guesses. It requires a deep understanding of the context and the ability to connect the dots to uncover underlying patterns or relationships. Assessing this skill helps evaluate an individual's analytical thinking and problem-solving abilities.

Interpreting graphs: Interpreting graphs involves understanding and making sense of visual representations of data, such as line graphs, bar charts, or pie charts. It requires the ability to analyze trends, identify patterns, and extract insights from the visual depiction of information. Evaluating this skill is crucial as it assesses an individual's ability to derive knowledge from data visualization.

Analyzing charts: Analyzing charts refers to the capability of extracting meaningful information from charts, such as histograms, scatter plots, or box plots. It involves interpreting various data points, understanding relationships, and detecting anomalies or trends within the chart. Assessing this skill helps gauge an individual's ability to make data-driven decisions based on graphical representations.

Analyzing tables: Analyzing tables involves comprehending and extracting relevant information from tabular data structures. It requires the capacity to identify patterns, compare data points, and derive insights from the organized format. Evaluating this skill allows recruiters to assess an individual's attention to detail and quantitative data analysis skills.

Data visualization: Data visualization refers to the practice of representing data in a visual or graphical format to enhance understanding and communication. It involves creating clear and visually appealing charts, graphs, or dashboards to present complex data sets or trends. Measuring this skill helps evaluate an individual's ability to communicate insights effectively through visual means.

Full list of covered topics

The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Data Interpretation Assessment Test to be based on.

Line graphs
Bar charts
Pie charts
Scatter plots
Histograms
Tables
Data points
Data trends
Data patterns
Data comparison
Data interpretation techniques
Data visualization methods
Identifying outliers
Data analysis
Data summary
Data inference
Data representation
Data exploration
Data manipulation
Data aggregation
Data extraction
Data reporting
Data forecasting
Discrete data
Continuous data
Correlation analysis
Regression analysis
Statistical significance
Data accuracy
Data reliability
Data validity
Data completeness
Data interpretation skills
Analyzing trends
Identifying relationships in data
Decision-making based on data
Interpreting data from different sources
Data-driven decision making
Visualization tools
Data analysis software
Data interpretation competency
Effective data communication
Data literacy
Data-driven insights
Data-driven problem-solving
Data interpretation best practices
Data interpretation limitations
Data interpretation challenges
Data interpretation strategies
Exploratory data analysis
Data classification
Data visualization techniques
Data interpretation proficiency
Data interpretation complexity
Data interpretation accuracy
Data interpretation errors
Data interpretation efficiency
Predictive analysis
Data extrapolation
Data interpolation
Data visualization skills
Qualitative data analysis
Quantitative data analysis
Data representation methods
Data interpretation methods
Interpreting data biases
Data interpretation tools
Data presentation
Data comprehension

What roles can I use the Data Interpretation Assessment Test for?

  • Data Analyst
  • Data Scientist
  • Business Analyst
  • Data Engineer
  • Database Administrator
  • Data Manager
  • Financial Analyst
  • Market Research Analyst
  • Consultant
  • Operations Analyst

How is the Data Interpretation Assessment Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Applying data interpretation skills in real-world scenarios
  • Manipulating and analyzing large data sets
  • Applying advanced statistical techniques to draw insights
  • Creating data visualizations to communicate findings
  • Utilizing data visualization tools
  • Designing informative and insightful graphs and charts
  • Applying data mining techniques to extract knowledge
  • Implementing appropriate data analysis methods
  • Validating and verifying data interpretations
  • Presenting data interpretations effectively

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Have questions about the Data Interpretation Hiring Test?

What is Data Interpretation Assessment Test?

The Data Interpretation Assessment Test evaluates a candidate's ability to read, interpret, and analyze data from graphs, charts, and tables. It is used by recruiters to identify individuals who can effectively process data and draw meaningful conclusions.

Can I combine the Data Interpretation Test with Analytical Skills questions?

Yes, recruiters can request a custom test combining multiple skills. For details on assessing Analytical Skills, check out the Analytical Skills Test.

What types of questions are included in the Data Interpretation Assessment Test?

This test includes multiple-choice questions aimed at assessing skills such as reading data, drawing inferences, interpreting graphs, and analyzing charts, tables, and data visualizations. It evaluates the ability to apply these skills in real-world scenarios, especially for senior roles.

How to use the Data Interpretation Test in my hiring process?

Use this test as a pre-screening tool. Add the test link to your job post or invite candidates by email. Adaface streamlines the process to identify top candidates earlier.

Can I test Data Interpretation and Numerical Reasoning together in a test?

Yes, combining Data Interpretation and Numerical Reasoning is recommended. This combination evaluates a candidate's comprehensive data skills. Check out the Data Interpretation, Numerical Reasoning & Spatial Reasoning Test for more details.

What are the main Data Analytics tests?
Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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