Analysing Movie Ticket Sales Data by City

The problem asks us to find the city with the second minimum total number of tickets sold across all five movies (A, B, C, D, E) based on the provided data table. To do this, we need to calculate the total number of tickets sold in each city and then compare these totals to find the second smallest value.

Calculating Total Ticket Sales Per City

We will sum the ticket sales for movies A, B, C, D, and E for each city row-wise from the table.

• Delhi Total: $\text{10000} + \text{7500} + \text{17500} + \text{13000} + \text{9000} = \text{57000}$ tickets
• Mumbai Total: $\text{8500} + \text{9500} + \text{10500} + \text{12500} + \text{14000} = \text{55000}$ tickets
• Kolkata Total: $\text{16000} + \text{12000} + \text{9500} + \text{10500} + \text{8500} = \text{56500}$ tickets
• Chennai Total: $\text{9000} + \text{10500} + \text{16000} + \text{14000} + \text{17000} = \text{66500}$ tickets
• Hyderabad Total: $\text{8000} + \text{17000} + \text{13000} + \text{14500} + \text{11000} = \text{63500}$ tickets
• Chandigarh Total: $\text{7500} + \text{13500} + \text{10000} + \text{17500} + \text{13000} = \text{61500}$ tickets

Comparing City Ticket Sales Totals

Now we list the total ticket sales for each city and arrange them in ascending order:

• Mumbai: 55000
• Kolkata: 56500
• Delhi: 57000
• Chandigarh: 61500
• Hyderabad: 63500
• Chennai: 66500

From the ordered list, we can identify the minimum and second minimum totals:

• Minimum Total: 55000 (Mumbai)
• Second Minimum Total: 56500 (Kolkata)

The city with the second minimum total number of tickets sold is Kolkata.

Revision Table: Key Data Analysis Steps

Additional Information on Data Interpretation

Data interpretation from tables is a common type of quantitative aptitude question. These questions test your ability to extract information, perform calculations (like sums, averages, percentages, ratios), and compare values. Key skills include:

• Carefully reading table headers and labels.
• Locating specific data points.
• Performing arithmetic operations accurately.
• Comparing multiple values to find minimums, maximums, or other relationships.
• Organizing intermediate results to avoid errors.

Practice with different types of data tables (like sales data, population data, production data) helps improve speed and accuracy in data interpretation problems.