Analyzing Vehicle Production Data

The question asks us to identify the year in which the total production of vehicle type B was the highest, based on the provided table.

Understanding the Data Table

The table shows the production figures for three types of vehicles (A, B, and C) across seven different years, from 2012 to 2018. To answer the question about vehicle type B production, we need to look specifically at the column labeled 'B - Type'.

Finding the Highest Production for Vehicle Type B

We need to examine the production numbers for vehicle type B for each year from 2012 to 2018 and find the maximum value. Let's list the production for B - Type for each year:

• Year 2012: 20,000
• Year 2013: 10,000
• Year 2014: 15,000
• Year 2015: 15,000
• Year 2016: 20,000
• Year 2017: 25,000
• Year 2018: 35,000

Now, we compare these numbers to find the highest value. The numbers are: 20,000, 10,000, 15,000, 15,000, 20,000, 25,000, and 35,000.

The highest number among these is 35,000.

We can see from the table that the production of 35,000 for vehicle type B occurred in the year 2018.

Conclusion

By examining the production data for vehicle type B across all the given years, we found that the highest production figure was 35,000 units, which was achieved in the year 2018.

Revision Table: Vehicle Production Analysis

Additional Information: Data Interpretation

Data interpretation involves reading and understanding information presented in various formats like tables, charts, and graphs. Questions based on data interpretation often require comparing values, calculating totals, averages, percentages, ratios, or identifying trends over time.

• Tables: Data in tables is organized in rows and columns. Each row usually represents an entity (like a year), and columns represent different attributes or categories (like vehicle types). Reading across a row gives details for that entity, while reading down a column shows the values for a specific attribute across different entities.
• Finding Maximum/Minimum: To find the maximum or minimum value for a specific category (like vehicle type B production), you need to scan through all the values in the corresponding column and identify the largest or smallest number.
• Identifying Trends: By looking at the data over consecutive years, you can see if production is generally increasing, decreasing, or fluctuating.

Being able to quickly and accurately extract information from tables is a fundamental skill for data interpretation questions.