The Norskprøven constitutes an essential examination for individuals seeking to demonstrate their competency in the Norwegian language, particularly those intending to integrate into Norwegian society or pursue higher education within Norway. The B2 writing component of the Norskprøven is structured to evaluate a candidate’s capacity to communicate proficiently in written Norwegian, with particular emphasis on their ability to interpret and describe graphical information. This assessment measures both linguistic competence and the capability to analyse and present data in a clear and coherent manner.
Within this writing component, candidates are customarily presented with one or more graphs or charts displaying specific datasets. The requirement is to furnish a comprehensive description of the information presented through these visual representations. This necessitates not merely a thorough command of the Norwegian language but also proficiency in accurate data interpretation.
Candidates must demonstrate the ability to identify patterns, draw comparisons, and express their findings in a systematic fashion, whilst maintaining adherence to formal writing conventions.
Summary
- Understand the requirements and expectations of the Norskprøven B2 writing task.
- Accurately identify and describe various types of graphs and their axes.
- Use precise adverbs, adjectives, and quantitative language to detail trends and changes.
- Compare and contrast data effectively while avoiding repetition and redundancy.
- Ensure a clear, coherent structure and thoroughly review your work before submission.
Identifying the Different Types of Graphs
Graphs come in various forms, each serving a distinct purpose in the presentation of data. Understanding these different types is essential for effectively interpreting and describing them in the Norskprøven B2 writing task. Common types of graphs include bar charts, line graphs, pie charts, and scatter plots.
Each type has its unique characteristics and is suited for different kinds of data representation. Bar charts are particularly useful for comparing quantities across different categories. They consist of rectangular bars that represent values, making it easy to see differences at a glance.
Line graphs, on the other hand, are ideal for illustrating trends over time, as they connect data points with lines, allowing for a visual representation of changes. Pie charts are effective for showing proportions within a whole, while scatter plots can reveal correlations between two variables. Familiarity with these graph types will enable candidates to choose the most appropriate language and structure when describing them. Master the Norskprøven: Enrol in our preparation courses at NLS Norwegian Language School today.
Describing the X and Y Axes

A critical aspect of interpreting graphs is understanding the axes that frame the data presented. In most graphs, the horizontal axis (X-axis) typically represents the independent variable, while the vertical axis (Y-axis) denotes the dependent variable. Accurately describing these axes is vital for providing context to the data being analysed.
When describing the X-axis, candidates should clearly state what it represents, whether it be time periods, categories, or any other relevant variable. For instance, if the X-axis indicates years, it is important to specify which years are included and how they are spaced out. Similarly, when discussing the Y-axis, candidates must articulate what values are being measured and how they relate to the data presented.
This foundational understanding allows for a more nuanced interpretation of the graph and sets the stage for deeper analysis.
Highlighting Key Trends and Patterns
Once candidates have established a clear understanding of the axes, they can begin to identify key trends and patterns within the data. This involves looking for significant increases or decreases, as well as any notable fluctuations that may occur over time or across categories. Recognising these trends is essential for providing a comprehensive description that goes beyond mere observation.
For example, if a line graph shows a steady increase in sales over several years, candidates should highlight this upward trend and consider discussing potential reasons behind it. Conversely, if there are periods of decline or stagnation, these should also be noted and explored. By drawing attention to these trends and patterns, candidates can demonstrate their analytical skills and provide a richer narrative around the data.
Using Adverbs and Adjectives to Add Detail
| Aspect | Description | Example Phrases | Tips |
|---|---|---|---|
| Introduction | Briefly introduce the graph and its topic. | “The graph illustrates…”, “This chart shows…” | Keep it concise and clear. |
| Overview | Summarise the main trends or overall pattern. | “Overall, there is an increase…”, “The data reveals a steady decline…” | Focus on the big picture, avoid details. |
| Details | Describe specific data points, comparisons, and changes. | “In 2019, the number rose to…”, “Compared to 2018, there was a significant drop…” | Use comparative and descriptive language. |
| Language | Use appropriate vocabulary and grammar for describing graphs. | “Increase, decrease, peak, plateau, fluctuate” | Use varied sentence structures and linking words. |
| Conclusion | Summarise the key points or suggest implications. | “In conclusion, the data suggests…”, “This trend may indicate…” | Keep it brief and relevant. |
| Time Management | Allocate time wisely during the exam. | N/A | Spend about 20 minutes planning and writing. |
To enhance their descriptions, candidates should employ adverbs and adjectives strategically. These parts of speech can add depth and clarity to their writing, allowing them to convey nuances in the data more effectively. For instance, instead of simply stating that sales increased, candidates might describe the increase as “significant” or “steady,” providing readers with a clearer picture of the magnitude of change.
Adverbs can also be used to modify verbs, adding precision to descriptions of trends. Phrases such as “dramatically increased” or “slightly decreased” offer more information than simple verbs alone. By incorporating descriptive language thoughtfully, candidates can elevate their writing and engage readers more effectively.
Comparing and Contrasting Data

An essential skill in analysing graphical data is the ability to compare and contrast different sets of information. This may involve looking at multiple graphs or examining different categories within a single graph. Candidates should be adept at identifying similarities and differences in trends or values, as this analysis can provide valuable insights into the data.
For example, if two bar charts depict sales figures for different products over the same time period, candidates should highlight how one product consistently outperformed the other or discuss any periods where their performance converged. By drawing comparisons and contrasts, candidates can enrich their descriptions and demonstrate a deeper understanding of the data’s implications.
Expressing Degrees of Change
When discussing changes in data, it is important for candidates to express degrees of change accurately. This involves using appropriate language to convey whether changes are minor or substantial. For instance, phrases such as “a slight increase” or “a dramatic decline” can help clarify the extent of change being described.
Candidates should also consider using numerical values where applicable to quantify changes more precisely. For example, stating that sales increased by 20% provides a clearer picture than simply saying they increased significantly. By expressing degrees of change effectively, candidates can enhance their descriptions and provide readers with a more comprehensive understanding of the data.
Utilising Quantitative Language
Quantitative language plays a crucial role in conveying information about numerical data effectively. Candidates should be familiar with terms that indicate quantity or frequency, such as “approximately,” “nearly,” “over,” or “under.” These terms help to contextualise figures and provide readers with a clearer understanding of what they represent. In addition to using quantitative language, candidates should also be mindful of how they present numerical information within their descriptions.
For instance, using percentages can often be more impactful than raw numbers when discussing changes or comparisons. By utilising quantitative language thoughtfully, candidates can enhance their writing and ensure that their descriptions are both informative and engaging.
Avoiding Repetition and Redundancy
Clarity and conciseness are key components of effective writing, particularly in an examination setting like the Norskprøven B2 task. Candidates should strive to avoid repetition and redundancy in their descriptions to maintain reader engagement and ensure that their points are communicated clearly. One effective strategy is to vary sentence structure and vocabulary throughout the description.
Instead of repeatedly using phrases like “the graph shows,” candidates might alternate with expressions such as “the data illustrates” or “the chart reveals.” This not only keeps the writing fresh but also demonstrates linguistic versatility—a quality that examiners value highly.
Providing a Clear and Coherent Structure
A well-structured response is essential for conveying information effectively in any writing task. Candidates should aim to organise their descriptions logically, guiding readers through their analysis step by step. A clear introduction that outlines what will be discussed can set the stage for a coherent narrative.
Following this introduction, candidates should present their observations in a systematic manner—starting with an overview of key trends before delving into specific details about individual data points or comparisons. Concluding remarks that summarise findings can also reinforce key messages and provide closure to the description.
Reviewing and Editing your Description
Finally, reviewing and editing one’s work is an indispensable part of the writing process. Candidates should allocate time at the end of their writing task to read through their descriptions carefully, checking for grammatical errors, awkward phrasing, or unclear statements. This final review can make a significant difference in the overall quality of their response.
Additionally, candidates should consider whether they have adhered to all aspects of effective writing discussed earlier—such as using varied vocabulary, avoiding repetition, and maintaining a clear structure. By taking these steps during the review process, candidates can enhance their chances of achieving a high score on the Norskprøven B2 writing task. In conclusion, mastering the Norskprøven B2 writing task requires not only linguistic proficiency but also analytical skills and an understanding of effective communication strategies.
By focusing on key elements such as identifying graph types, describing axes accurately, highlighting trends, utilising descriptive language, comparing data effectively, expressing degrees of change quantitatively, avoiding redundancy, structuring responses clearly, and reviewing work diligently, candidates can significantly improve their performance on this important examination. For those seeking comprehensive support in preparing for this challenge, NLS Norwegian Language School in Oslo offers specialized Norwegian Test Preparation courses tailored specifically for mastering the Norskprøven. With expert guidance and resources designed to align with CEFR standards, students can build confidence in their language skills while honing their ability to tackle tasks like the B2 writing component effectively.
The inclusion of mock tests further equips learners with practical experience that is invaluable for success on exam day.