Data interpretation
⏱ ~3-min readAceMark GuideWhat this topic is really about
Standard deviation measures how much the values in a dataset deviate from the mean, representing the overall spread or variability of the data. In contrast, measures of central tendency, like the mean or median, describe the center or typical value of a dataset rather than its distribution.
Total annual sales can be found by summing the sales of each quarter.. Summing the quarterly sales 10 + 15 + 25 + 30 yields 80 thousand units, which is the total annual sales.
See the mechanism
The correct answer is 80 because it is the sum of the sales of all four quarters. A diagram for this topic isn't available yet — the worked example below walks the same reasoning step by step.
An exam-style question, fully explained
A bar chart shows sales of 10, 15, 25, and 30 thousand units across four quarters. Total annual sales (thousands):
- Identify what the question tests: A bar chart shows sales of 10, 15, 25, and 30 thousand units across four quarters..
- Summing the quarterly sales 10 + 15 + 25 + 30 yields 80 thousand units, which is the total annual sales.
- Choice B 75 often appears when one omits the 30‑thousand quarter or misadds 10 + 15 + 25 = 50 and then adds 25 again, resulting in 75.
- Therefore the correct answer is 80.
- Why it matters: The correct answer is 80 because it is the sum of the sales of all four quarters. The other options are incorrect because they do not accurately reflect the total sales. For example, option B, 75, may result from omitting one of the quarters or misadding the sales figures.
Traps the examiner sets
- Some test-takers may misadd the sales figures or omit one of the quarters, leading to an incorrect total. A common mistake is adding 10 + 15 + 25 and then adding 25 again, instead of adding 30, resulting in 75 instead of 80.
- Selecting $800 is incorrect because that represents the 40% allocated to rent rather than the portion spent on food.
Test your recall
Answer each from memory — you'll see instantly whether you're right and why.
Run a focused 10-question mini-mock on Data interpretation and see it stick.
Practice more of this topic →