Compute seasonal indices using all of the data.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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### Attendance at Lego World in Orlando

The following table presents the attendance figures, in thousands, at Orlando's Lego World over a span of three years. The data is organized by quarter and is useful for analyzing seasonal trends in visitation.

#### Guest Attendance by Quarter

| **Quarter**     | **Guests (in Thousands)** |
|-----------------|---------------------------|
| Winter Year 1   | 73                        |
| Spring Year 1   | 104                       |
| Summer Year 1   | 168                       |
| Fall Year 1     | 74                        |
| Winter Year 2   | 65                        |
| Spring Year 2   | 82                        |
| Summer Year 2   | 124                       |
| Fall Year 2     | 52                        |
| Winter Year 3   | 89                        |
| Spring Year 3   | 146                       |
| Summer Year 3   | 205                       |
| Fall Year 3     | 98                        |

### Analysis

From this data, it's possible to compute seasonal indices to understand the popularity trends over different times of the year. Notably, summer quarters consistently see the highest attendance, peaking at 205,000 guests in Summer Year 3, indicating a potential trend of increased visitation during summer months. Conversely, fall quarters generally show the lowest attendance. 

This information could be utilized for operational planning and marketing strategies to maximize attendance and enhance guest experiences.
Transcribed Image Text:### Attendance at Lego World in Orlando The following table presents the attendance figures, in thousands, at Orlando's Lego World over a span of three years. The data is organized by quarter and is useful for analyzing seasonal trends in visitation. #### Guest Attendance by Quarter | **Quarter** | **Guests (in Thousands)** | |-----------------|---------------------------| | Winter Year 1 | 73 | | Spring Year 1 | 104 | | Summer Year 1 | 168 | | Fall Year 1 | 74 | | Winter Year 2 | 65 | | Spring Year 2 | 82 | | Summer Year 2 | 124 | | Fall Year 2 | 52 | | Winter Year 3 | 89 | | Spring Year 3 | 146 | | Summer Year 3 | 205 | | Fall Year 3 | 98 | ### Analysis From this data, it's possible to compute seasonal indices to understand the popularity trends over different times of the year. Notably, summer quarters consistently see the highest attendance, peaking at 205,000 guests in Summer Year 3, indicating a potential trend of increased visitation during summer months. Conversely, fall quarters generally show the lowest attendance. This information could be utilized for operational planning and marketing strategies to maximize attendance and enhance guest experiences.
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