GMAT - Graduate Management Admission Data Insights: Graphics Interpretation Questions and Answers

Question 1

The stacked bar chart below shows the annual revenue in millions of dollars for a technology company, broken down by division, for Year 1 and Year 2.

\[Image of a stacked bar chart showing revenue for 'Software', 'Hardware', and 'Services' for two consecutive years. Year 1: Software=$50M, Hardware=$30M, Services=$20M. Year 2: Software=$60M, Hardware=$35M, Services=$30M.]

Which division experienced the greatest percentage increase in revenue from Year 1 to Year 2?

Accepted Answer

Services

Answer

Hardware

Answer

Software

Answer

All divisions grew by the same percentage.

Question 2

The line graph below tracks the monthly number of active users for three different social media platforms over a six-month period.

\[Image of a line graph with three lines representing Platform A, Platform B, and Platform C. Month 1: A=5000, B=8000, C=7000. Month 6: A=7500, B=9000, C=6000. Platform B's line shows the most fluctuation (volatility) between months.]

Which of the following statements is best supported by the data in the graph?

Accepted Answer

Platform B was the most volatile in terms of its number of active users.

Answer

Platform C experienced the largest absolute decrease in users from Month 1 to Month 6.

Answer

At the end of Month 6, Platform A had the most active users.

Answer

Platform A experienced uninterrupted growth throughout the entire period.

Question 3

The scatter plot below shows the relationship between the number of hours a student studied per week and their final exam score, along with a line of best fit for the data.

\[Image of a scatter plot with 'Hours Studied per Week' on the x-axis (0 to 15) and 'Final Exam Score' on the y-axis (0 to 100). A line of best fit is drawn through the data points, passing through approximately (4 hours, 65 score) and (12 hours, 95 score).]

Based on the line of best fit, what would be the predicted exam score for a student who studied 10 hours per week?

Accepted Answer

88

Answer

80

Answer

95

Answer

75

Question 4

The two pie charts below show the market share of laptop brands in Year 1 and Year 2. The total number of laptops sold was 1.5 million in Year 1 and 2.0 million in Year 2.

\[Image of two pie charts. Year 1 (Total: 1.5M units): Brand A=20%, Brand B=50%, Others=30%. Year 2 (Total: 2.0M units): Brand A=30%, Brand B=45%, Others=25%]

What was the absolute increase in the number of units sold by Brand A from Year 1 to Year 2?

Accepted Answer

300,000

Answer

100,000

Answer

500,000

Answer

150,000

Question 5

The table below provides efficiency data for four different manufacturing plants.

| Plant Location | Units Produced per Day | Operating Cost per Day | Number of Employees |
| :--- | :--- | :--- | :--- |
| North | 1,200 | $15,000 | 50 |
| South | 1,500 | $16,500 | 60 |
| East | 900 | $10,800 | 40 |
| West | 1,600 | $20,000 | 80 |

Which plant has the lowest operating cost per unit produced?

Accepted Answer

South

Answer

North

Answer

East

Answer

West

Question 6

The bubble chart below compares several companies based on their market share, customer satisfaction rating, and annual revenue. The size of each bubble corresponds to the company's annual revenue.

\[Image of a bubble chart. X-axis: 'Market Share (%)'. Y-axis: 'Customer Satisfaction (out of 100)'. Bubble size represents 'Annual Revenue'. Company Alpha: high market share, moderate satisfaction, large bubble. Company Beta: low market share, high satisfaction, small bubble. Company Gamma: moderate market share, low satisfaction, medium bubble. Company Delta: high market share, high satisfaction, medium bubble.]

Which of the following statements can be most reliably concluded from the chart?

Accepted Answer

The company with the highest customer satisfaction has the lowest market share.

Answer

Higher customer satisfaction directly causes higher annual revenue.

Answer

The company with the highest market share also has the highest annual revenue.

Answer

There is no consistent relationship between market share and customer satisfaction.