For each of 7 films, the table shows the film's budget, in millions of euros (€), its distribution company, its...

OWNING THE DATASET

Let's start by understanding what we're working with. This table shows data for 7 films with information about their budgets, distribution companies, revenue, and screen counts.

A quick scan reveals:

• We have both total revenue and average revenue per screen
• There appear to be multiple distribution companies (notably Companies A and B)
• The budgets range from €25M to €120M
• Screen counts vary widely from 50 to 425

Key insight: Rather than creating multiple sorted lists upfront, we'll sort the data strategically only when needed to answer each statement. This approach will save us significant effort.

Let's dive into the statements in the most efficient order.

ANALYZING STATEMENT 2

Statement 2 Translation:
Original: "The two films with the highest average revenue per screen were distributed by Company B."
What we're looking for:

• Which two films have the highest average revenue per screen
• Whether both of these films were distributed by Company B

In other words: Do the top 2 revenue-per-screen films both come from Company B?

Let's sort the data by "Average revenue per screen" in descending order to immediately see the top performers:

After sorting, we can quickly scan the top two entries:

• Film 1: €1,460 per screen (Distribution Company: Company A)
• Film 5: €1,200 per screen (Distribution Company: Company A)

We can stop right here! Both of the films with the highest average revenue per screen are from Company A, not Company B. We don't even need to look at the remaining films.

Teaching note: Notice how sorting instantly revealed the pattern we needed to see. We didn't have to calculate anything or check every film - the answer became immediately visible after a single sort operation.

Statement 2 is No.

ANALYZING STATEMENT 3

Statement 3 Translation:
Original: "The film with the smallest budget was shown on the fewest screens."
What we're looking for:

• Which film has the smallest budget
• Whether this same film also has the fewest screens

In other words: Does the lowest-budget film also have the lowest screen count?

Let's approach this systematically:

First, let's sort by Budget (ascending) to find the film with the smallest budget:

• The film with the smallest budget is Film 6 with €25M

Now, let's sort by Screens (ascending) to find the film with the fewest screens:

• The film with the fewest screens is also Film 6 with 50 screens

Since the same film (Film 6) has both the smallest budget and the fewest screens, the statement is verified.

Teaching note: We only needed to remember one piece of information (Film 6) between our sorts. This minimizes mental burden while still giving us a definitive answer.

Statement 3 is Yes.

ANALYZING STATEMENT 1

Statement 1 Translation:
Original: "The three films with the highest budgets were all distributed by Company A."
What we're looking for:

• Which three films have the highest budgets
• Whether all three were distributed by Company A

In other words: Are the top 3 budget films all from Company A?

Let's sort by Budget (descending) to immediately see the highest-budget films:

After sorting, we can scan the Distribution Company column for the top three films:

• Highest budget: Company A
• Second highest: Company A
• Third highest: Company A

All three of the highest-budget films were indeed distributed by Company A.

Teaching note: After sorting, we used visual pattern recognition to quickly confirm all three top-budget films were from Company A. No need to write down the individual films or budgets - the pattern is immediately visible.

Statement 1 is Yes.

FINAL ANSWER COMPILATION

Let's compile our findings:

• Statement 1: Yes (The three films with the highest budgets were all distributed by Company A)
• Statement 2: No (The two films with the highest average revenue per screen were NOT distributed by Company B, but by Company A)
• Statement 3: Yes (The film with the smallest budget was shown on the fewest screens)

Therefore, our answer is: Statement 1 is Yes, Statement 2 is No, Statement 3 is Yes.

LEARNING SUMMARY

Skills We Used

• Strategic Sorting: We only sorted when needed for a specific verification rather than creating multiple sorted lists upfront
• Visual Pattern Recognition: After sorting, we used visual scanning to identify patterns rather than rewriting data
• Minimal Memory Burden: We only tracked essential information between sorting operations

Strategic Insights

• Statement Order Matters: We tackled Statement 2 first because it could be verified or falsified by checking just the top two entries
• The Path to FALSE is Often Shorter: For Statement 2, we only needed to find that the top two entries contradicted the claim
• One-Click Sorting is Your Secret Weapon: Each sort operation instantly revealed patterns that would take much longer to find manually

Common Mistakes We Avoided

• Unnecessary Data Organization: We didn't create multiple sorted lists upfront
• Sequential Checking: We didn't methodically work through statements in the given order
• Manual Comparisons: We didn't manually compare values across multiple dimensions without sorting

Remember: When approaching table analysis questions, strategic sorting and visual pattern recognition will save you significant time while maintaining perfect accuracy. Always look for the statement that can be verified most quickly, and use the table's sorting functionality to your advantage!