# 2742 Interpreting Seasonal Indices

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| By Anthony Nunan
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Anthony Nunan
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Quizzes Created: 132 | Total Attempts: 44,890
Questions: 32 | Attempts: 373

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• 1.

### 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?

1, 1.0, 1.00
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.

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• 2.

### 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?

1, 1.0, 1.00
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.

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• 3.

### 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?

1, 1.0, 1.00
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.

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• 4.

### 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?

1, 1.0, 1.00
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.

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• 5.

### 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?

1, 1.0, 1.00
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.

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• 6.

### 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?

1, 1.0, 1.00
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.

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• 7.

1.2
• 8.

### The seasonal index for Summer is calculated to be 1.03. This means :

• A.

Summer is 1.03% above the seasonal average

• B.

Summer is 30% above the seasonal average

• C.

Summer is 3% below the seasonal average

• D.

Summer is 3% above the seasonal average

• E.

Summer is 7% below the seasonal average

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

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• 9.

### The seasonal index for Winter is calculated to be 1.13. This means :

• A.

Winter is 1.13% above the seasonal average

• B.

Winter is 0.13% above the seasonal average

• C.

Winter is 0.13% below the seasonal average

• D.

Winter is 13% above the seasonal average

• E.

Winter is 13% below the seasonal average

• F.

Winter is coming

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

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• 10.

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

• A.

Autumn is 1.27% above the seasonal average

• B.

Autumn is 0.27% above the seasonal average

• C.

Autumn is 1.27% below the seasonal average

• D.

Autumn is 27% above the seasonal average

• E.

Autumn is 27% below the seasonal average

• F.

Autumn is going to have lots of leaves this year

D. Autumn is 27% above the seasonal average
• 11.

### The seasonal index for Spring is calculated to be 1.53 This means :

• A.

Spring is 1.53% above the seasonal average

• B.

Spring is 0.53% above the seasonal average

• C.

Spring is 1.53% below the seasonal average

• D.

Spring is 53% above the seasonal average

• E.

Spring is 53% below the seasonal average

• F.

Spring is a good time for holidays

D. Spring is 53% above the seasonal average
• 12.

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

• A.

Monday is 1.02% above the daily average

• B.

Monday is 1.02% above the weekly average

• C.

Monday is 2% below the daily average

• D.

Monday is 2% above the daily average

• E.

Monday is 2% above the weekly average

• F.

Monday is not as good as Friday

D. Monday is 2% above the daily average
• 13.

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

• A.

Wednesday is 1.07% above the daily average

• B.

Wednesday is 1.07% above the weekly average

• C.

Wednesday is 7% below the daily average

• D.

Wednesday is 7% above the daily average

• E.

Wednesday is 7% above the weekly average

• F.

Wednesday is not as good as other days

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

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• 14.

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

• A.

December is 1.09% above the monthly average

• B.

December is 1.09% above the annual average

• C.

December is 9% below the monthly average

• D.

December is 9% above the monthly average

• E.

December is 9% above the annual average

• F.

December is better than other months

D. December is 9% above the monthly average
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.

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• 15.

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

• A.

July is 1.41% above the monthly average

• B.

July is 1.41% above the annual average

• C.

July is 0.41% above the monthly average

• D.

July is 41% above the monthly average

• E.

July is 41% above the annual average

• F.

July is better than other months

D. July is 41% above the monthly average
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.

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• 16.

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

• A.

July is 0.41% below the monthly average

• B.

July is 0.41% below the annual average

• C.

July is 59% below the monthly average

• D.

July is 41% below the monthly average

• E.

July is 59% below the annual average

• F.

July is worse than other months

C. July is 59% below the monthly average
• 17.

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

• A.

June is 0.70% below the monthly average

• B.

June is 0.70% below the annual average

• C.

June is 30% below the monthly average

• D.

June is 70% below the monthly average

• E.

June is 30% below the annual average

• F.

June is too cold to be doing anything

C. June is 30% below the monthly average
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.

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• 18.

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

• A.

March is 0.45% below the monthly average

• B.

March is 0.45% below the annual average

• C.

March is 55% below the monthly average

• D.

March is 45% below the monthly average

• E.

March is 55% below the annual average

• F.

March is worse than other months

C. March is 55% below the monthly average
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.

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• 19.

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

• A.

Tuesday is 0.45% below the daily average

• B.

Tuesday is 0.45% below the weekly average

• C.

Tuesday is 55% below the daily average

• D.

Tuesday is 45% below the daily average

• E.

Tuesday is 55% below the weekly average

• F.

Tuesday is worse than other days of the week

C. Tuesday is 55% below the daily average
Explanation
The seasonal index for Tuesday is calculated to be 0.45, which means that Tuesday is 45% below the daily average.

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• 20.

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

• A.

Sunday is 0.75% below the daily average

• B.

Sunday is 0.75% below the weekly average

• C.

Sunday is 25% below the daily average

• D.

Sunday is 75% below the daily average

• E.

Sunday is 25% below the weekly average

• F.

Sunday is a fun day.

C. Sunday is 25% below the daily average
• 21.

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

• A.

Autumn is 0.75% below the annual average

• B.

Autumn is 0.75% below the seasonal average

• C.

Autumn is 25% below the seasonal average

• D.

Autumn is 75% below the annual average

• E.

Autumn is 25% below the monthly average

• F.

Autumn is good if you like leaves..

C. Autumn is 25% below the seasonal average
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.

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• 22.

1.4
• 23.

0.92
• 24.

0.9
• 25.

0.9
• 26.

1.2
• 27.

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

0.8
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.

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• 28.

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

0.8
Explanation
The missing seasonal index is 0.8.

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• 29.

0.85
• 30.

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

0.95
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.

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• 31.

1.3, 1.30
• 32.

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

0.9, 0.90

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• Current Version
• Mar 15, 2023
Quiz Edited by
ProProfs Editorial Team
• Apr 25, 2014
Quiz Created by
Anthony Nunan