2742 Interpreting Seasonal Indices

  • ISO 3534
  • ASTM E2586
Reviewed by Editorial Team
The ProProfs editorial team is comprised of experienced subject matter experts. They've collectively created over 10,000 quizzes and lessons, serving over 100 million users. Our team includes in-house content moderators and subject matter experts, as well as a global network of rigorously trained contributors. All adhere to our comprehensive editorial guidelines, ensuring the delivery of high-quality content.
Learn about Our Editorial Process
| By Anthony Nunan
A
Anthony Nunan
Community Contributor
Quizzes Created: 132 | Total Attempts: 47,828
| Attempts: 376 | Questions: 32 | Updated: Mar 15, 2025
Please wait...
Question 1 / 32
0 %
0/100
Score 0/100
1. The seasonal index for Summer is calculated to be 1.03. This means :

Explanation

The seasonal index for Summer is calculated to be 1.03, which means that Summer is 3% above the seasonal average.

Submit
Please wait...
About This Quiz
2742 Interpreting Seasonal Indices - Quiz

This quiz titled '2742 Interpreting Seasonal Indices' evaluates understanding of seasonal indices in time series data, covering weekdays, months, and seasons. It tests the ability to calculate average indices, crucial for statistical and data analysis tasks.

2.
We’ll put your name on your report, certificate, and leaderboard.
2. The seasonal index for Winter is calculated to be 1.13. This means :

Explanation

The seasonal index for Winter is calculated to be 1.13, which means Winter is 13% above the seasonal average.

Submit
3. The seasonal index for Autumn is calculated to be 1.27. This means :

Explanation

not-available-via-ai

Submit
4. The seasonal index for Spring is calculated to be 1.53 This means :

Explanation

not-available-via-ai

Submit
5. The seasonal index for Monday is calculated to be 1.02. This means :

Explanation

not-available-via-ai

Submit
6. The seasonal index for Wednesday is calculated to be 1.07. This means :

Explanation

The seasonal index for Wednesday is calculated to be 1.07, which means that Wednesday is 7% above the daily average.

Submit
7. The data above shows the seasonal indices for 11 months. What is missing index?

Explanation

not-available-via-ai

Submit
8. The data above shows the seasonal indices for 11 months. What is missing index?

Explanation

not-available-via-ai

Submit
9. The data above shows the seasonal indices for 4 days. What is missing seasonal index?

Explanation

not-available-via-ai

Submit
10. The data above shows the seasonal indices for 4 days. What is missing seasonal index?

Explanation

The missing seasonal index is 0.8. This can be inferred from the given information that the data above shows the seasonal indices for 4 days and the answer provided matches with the format of the given data.

Submit
11. The data above shows the seasonal indices for 4 days. What is missing seasonal index?

Explanation

The missing seasonal index is 0.8.

Submit
12. The data above shows the seasonal indices for 3 seasons. What is missing seasonal index?

Explanation

not-available-via-ai

Submit
13. The data above shows the seasonal indices for 3 seasons. What is missing seasonal index?

Explanation

The given data shows the seasonal indices for 3 seasons, but it does not specify which season is missing the seasonal index. Therefore, it is not possible to determine the missing seasonal index based on the given information.

Submit
14. The data above shows the seasonal indices for 3 seasons. What is missing seasonal index?

Explanation

not-available-via-ai

Submit
15. The data above shows the seasonal indices for 3 seasons. What is missing seasonal index?

Explanation

not-available-via-ai

Submit
16. A time series data set contains values from Monday to Sunday, and the Seasonal Index for Sunday is 0.23.  What is the seasonal index for an average day?  

Explanation

The seasonal index for an average day in this time series data set is 1, 1.0, or 1.00. This means that the average day has the same value as the overall average of all the days in the data set.

Submit
17. A time series data set contains values for the 12 months of the year, and the Seasonal Index for July is 1.23.  What is the seasonal index for an average month?  

Explanation

The seasonal index for an average month is 1. This means that the average month has the same value as the overall average of the 12 months in the time series data set. The values 1.0 and 1.00 are also correct because they represent the same value of 1 with different decimal representations.

Submit
18. A time series data set contains values for the 12 months of the year, and the Seasonal Index for April is 0.85.  What is the seasonal index for an average month?  

Explanation

The seasonal index for an average month would be 1. This is because the seasonal index for April is 0.85, which means that April has a lower value compared to an average month. Therefore, an average month would have a seasonal index of 1, indicating that it is neither higher nor lower than the average.

Submit
19. A time series data set contains values for the four seasons of the year, and the Seasonal Index for Autumn is 1.25.  What is the seasonal index for an average season?  

Explanation

The seasonal index for an average season is 1, 1.0, and 1.00. This is because the seasonal index represents the ratio of the average value of a specific season to the overall average value. Since an average season is expected to have the same value as the overall average, the seasonal index for an average season would be 1.

Submit
20. The seasonal index for December is calculated to be 1.09. This means :

Explanation

The seasonal index for December is calculated to be 1.09, which means that December is 9% above the monthly average. This suggests that December typically has higher values or performance compared to the average for all months.

Submit
21. The seasonal index for July is calculated to be 1.41. This means :

Explanation

The seasonal index for July is calculated to be 1.41, which means that July is 41% above the monthly average. The seasonal index is a measure of how a particular month compares to the average for that time period. In this case, July is significantly higher than the average, indicating that it is performing better than other months in terms of whatever metric is being measured.

Submit
22. The seasonal index for Tuesday is calculated to be 0.45. This means :

Explanation

The seasonal index for Tuesday is calculated to be 0.45, which means that Tuesday is 45% below the daily average.

Submit
23. The seasonal index for March is calculated to be 0.45. This means :

Explanation

The correct answer is March is 55% below the monthly average. The seasonal index of 0.45 indicates that March's value is 45% of the monthly average. Since the index is less than 1, it means that March is below the average, specifically 55% below it.

Submit
24. The data above shows the seasonal indices for 11 months. What is missing index?

Explanation

not-available-via-ai

Submit
25. The seasonal index for July is calculated to be 0.41. This means :

Explanation

not-available-via-ai

Submit
26. The seasonal index for June is calculated to be 0.70. This means :

Explanation

The seasonal index for June is calculated to be 0.70, which means that June is 30% below the monthly average. This indicates that June typically experiences lower values or lower performance compared to the average for that specific month.

Submit
27. The data above shows the seasonal indices for 11 months. What is missing index?  

Explanation

not-available-via-ai

Submit
28. The data above shows the seasonal indices for 11 months. What is missing index?

Explanation

not-available-via-ai

Submit
29. A time series data set contains values from Monday to Friday, and the Seasonal Index for Friday is 1.23.  What is the seasonal index for an average day?  

Explanation

The seasonal index for an average day is 1. This is because the given information states that the seasonal index for Friday is 1.23, which means that Friday has a 23% higher value compared to the average day. Therefore, the average day has a seasonal index of 1, indicating that it has the same value as the average of all the other days in the time series data set.

Submit
30. A time series data set contains values for the four seasons of the year, and the Seasonal Index for Winter is 0.85.  What is the seasonal index for an average season?  

Explanation

The seasonal index for an average season is 1, 1.0, or 1.00. This means that the average season has the same value as the overall average of the four seasons in the time series data set.

Submit
31. The seasonal index for Sunday is calculated to be 0.75. This means :

Explanation

not-available-via-ai

Submit
32. The seasonal index for Autumn is calculated to be 0.75. This means :

Explanation

The seasonal index for Autumn is calculated to be 0.75, which means that Autumn is 25% below the seasonal average. This indicates that during Autumn, the observed values are 25% lower than the average values for that particular season.

Submit
View My Results
Cancel
  • All
    All (32)
  • Unanswered
    Unanswered ()
  • Answered
    Answered ()
The seasonal index for Summer is calculated to be 1.03. This means :
The seasonal index for Winter is calculated to be 1.13. This means :
The seasonal index for Autumn is calculated to be 1.27. This means :
The seasonal index for Spring is calculated to be 1.53 This...
The seasonal index for Monday is calculated to be 1.02. This means :
The seasonal index for Wednesday is calculated to be 1.07. This means...
The data above shows the seasonal indices for 11 months. What is...
The data above shows the seasonal indices for 11 months. What is...
The data above shows the seasonal indices for 4 days. What is missing...
The data above shows the seasonal indices for 4 days. What is missing...
The data above shows the seasonal indices for 4 days. What is missing...
The data above shows the seasonal indices for 3 seasons. What is...
The data above shows the seasonal indices for 3 seasons. What is...
The data above shows the seasonal indices for 3 seasons. What is...
The data above shows the seasonal indices for 3 seasons. What is...
A time series data set contains values from Monday to Sunday, and the...
A time series data set contains values for the 12 months of the year,...
A time series data set contains values for the 12 months of the year,...
A time series data set contains values for the four seasons of the...
The seasonal index for December is calculated to be 1.09. This means :
The seasonal index for July is calculated to be 1.41. This means :
The seasonal index for Tuesday is calculated to be 0.45. This means :
The seasonal index for March is calculated to be 0.45. This means :
The data above shows the seasonal indices for 11 months. What is...
The seasonal index for July is calculated to be 0.41. This means :
The seasonal index for June is calculated to be 0.70. This means :
The data above shows the seasonal indices for 11 months. What is...
The data above shows the seasonal indices for 11 months. What is...
A time series data set contains values from Monday to Friday, and the...
A time series data set contains values for the four seasons of the...
The seasonal index for Sunday is calculated to be 0.75. This means :
The seasonal index for Autumn is calculated to be 0.75. This means :
Alert!

Back to Top Back to top
Advertisement