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The graph provides data for all performances of 4 plays during a recent one-week period. For each play, the graph shows the total number of tickets sold for all performances; the capacity, which is the maximum number of tickets that could have been sold for all performances; and the average (arithmetic mean) price of each ticket sold.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
| Component | Content | Interpretation |
|---|---|---|
| Time Period | recent one-week period | Data is for a single, recent week |
| Number of Plays | 4 plays | Four plays are compared |
| Tickets Sold | total number of tickets sold for all performances | Cumulative ticket sales per play (weekly total) |
| Capacity | maximum number of tickets that could have been sold for all performances | Total possible seats per play (weekly total) |
| Average Price | average (arithmetic mean) price of each ticket sold | The mean price paid per ticket for each play |
| Chart Feature | Content/Observation | Meaning/Implication |
|---|---|---|
| Chart Type | Bar chart; three bars per play: tickets sold, capacity, avg price | Enables side-by-side comparison of sales, capacity, and price |
| Y-Axis Scale | 0–90 (in hundreds); prices as a separate bar per play (in dollars) | Values easily comparable; ticket counts and capacities are scaled |
| Plays | Play 1: 65 sold/80 capacity/$90; Play 2: 60/90/$85; Play 3: 55/90/$75; Play 4: 45/50/$40 | Provides raw numbers for each metric by play |
| Capacity Used | Play 1: 81.25%; Play 2: 66.67%; Play 3: 61.1%; Play 4: 90% | Play 4 has the highest seat-fill rate |
| Price Patterns | Higher prices correspond to lower capacity utilization | Suggests lower-priced plays sell a higher percent of seats |
Play 4 sold 45 out of 50 possible tickets (90%), the highest capacity percentage among all four plays. Its average ticket price was $40. Thus, Play 4 achieved the greatest seat utilization. Total revenue for Play 4 is \(4,500 \text{ tickets} × \$40 = \$180,000\). Higher ticket prices correlated with lower percent sold: Play 1 charged $90 on average but sold 81.25% of capacity. Plays 2 and 3 had the largest capacities but lagged in utilization (67% and 61%). Lower price can drive higher occupancy, as shown by Play 4.
As a percent of capacity, the number of tickets sold was greatest for Play [BLANK 1]
for this play, total revenue from ticket sales was [BLANK 2].
First, Play 4 has the greatest capacity utilization at 90%. By multiplying its total tickets sold (4,500) by the $40 average ticket price, its total revenue from ticket sales is $180,000.
These blanks are dependent: blank 2 asks for the revenue from the play identified as the answer to blank 1. To correctly answer blank 2, you must first answer blank 1.