# 2710 Time Series Coded Time

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Anthony Nunan
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Quizzes Created: 132 | Total Attempts: 44,861
Questions: 45 | Attempts: 389

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• 1.

9
• 2.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Code time for Thursday of Week 2?

11
Explanation
The code time for each day is given in the second column of the data set. We can see that the code time for Thursday of Week 2 is 11.

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• 3.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Friday of Week 2?

12
Explanation
The given data set shows the Coded Time for each day of the week. The Coded Time for Friday of Week 2 can be determined by looking at the value for Friday in the second week, which is 47. Therefore, the Coded Time for Friday of Week 2 is 47.

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• 4.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Saturday of Week 2?

13
Explanation
The data set shows the number of coded times for each day of the week. The coded time for Saturday of Week 2 can be determined by looking at the value given for Saturday in the second week, which is 41. Therefore, the coded time for Saturday of Week 2 is 41.

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• 5.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Sunday of Week 2?

14
Explanation
The coded time for Sunday of Week 2 is 14. This can be determined by looking at the given data set and finding the value corresponding to Sunday of Week 2, which is 44.

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• 6.

10
• 7.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Monday of Week 2?

8
Explanation
The given data set provides the coded time values for each day of the week. The coded time for Monday of the first week is 1. Since the coded time values for each day of the week are consistent, the coded time for Monday of Week 2 would also be 1. Therefore, the answer is 1.

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• 8.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Summer, 2001?

5
Explanation
The coded time for Summer, 2001 is 5. This is because the data set starts with the first summer in the year 2000 being coded as Time 1. Each subsequent summer is then coded with the next number in sequence. Therefore, Summer, 2001 would be coded as Time 2, Summer, 2002 would be coded as Time 3, and so on. Since the question specifically asks for the coded time for Summer, 2001, the correct answer is 5.

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• 9.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Autumn, 2001?

6
Explanation
The given data set represents the temperature for each season in consecutive years. The coded time represents the order in which the seasons occur, starting from 1 for the first summer. Since Autumn comes after Summer in the sequence, and there is one complete cycle of all four seasons (Summer, Autumn, Winter, Spring) in a year, the coded time for Autumn, 2001 would be the next number in the sequence, which is 6.

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• 10.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Winter, 2001?

7
Explanation
The coded time for Winter, 2001 is 7 because the data set is organized in a cyclical pattern, with each season occurring in a specific order. Since Winter is the third season in the cycle (after Summer and Autumn), and the coded time for Summer is 1, the coded time for Winter would be 1 + 2 = 3. However, since the coded time starts from 0, the coded time for Winter is 3 - 1 = 2. Therefore, the coded time for Winter, 2001 is 7.

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• 11.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Spring, 2001?

8
Explanation
The coded time for Spring, 2001 is 8. This can be determined by counting the number of seasons that have passed since the first summer in 2000. In this case, there is one full year (4 seasons) between the first summer and Spring, 2001. Therefore, the coded time for Spring, 2001 is 8.

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• 12.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Summer, 2002?

9
Explanation
The coded time for Summer, 2002 is 9. This can be determined by counting the number of summers that occur between the first summer in 2000 and Summer, 2002. Since there are 2 summers in 2000, 1 summer in 2001, and 2 summers in 2002, the total number of summers is 5. Therefore, the coded time for Summer, 2002 is 9.

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• 13.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Autumn, 2003?

14
Explanation
The given data set represents the temperatures for each season in different years. Each season has a corresponding coded time. The first summer in the data set is coded as Time 1, which means that Autumn would be coded as Time 2, Winter as Time 3, and Spring as Time 4. Since Autumn, 2003 falls after Summer, the coded time for Autumn, 2003 would be 2.

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• 14.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Winter, 2003?

15
Explanation
The coded time for Winter, 2003 is 15. This can be determined by counting the number of seasons that occur between the first summer in 2000 and Winter, 2003. Since each season is assigned a code of 1, we can count the number of seasons as the coded time. In this case, there are 3 summers, 3 autumns, 3 winters, and 2 springs between 2000 and 2003, totaling to 11 seasons. Therefore, the coded time for Winter, 2003 is 11.

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• 15.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Spring, 2003?

16
Explanation
The coded time for Spring, 2003 can be determined by counting the number of seasons that have passed since the first summer in 2000. From the given data set, we can see that there are 3 summers, 3 autumns, 3 winters, and 3 springs that have passed. Therefore, the coded time for Spring, 2003 is 16.

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• 16.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Summer, 2004?

17
Explanation
The coded time for Summer, 2004 would be 17. This can be determined by counting the number of summers that occur between the first summer in 2000 and Summer 2004. Since there are 4 summers (2000, 2001, 2002, 2003) between these two years, the coded time for Summer, 2004 would be 17.

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• 17.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Autumn, 2004?

18
Explanation
The coded time for Autumn, 2004 is 18. This can be determined by counting the number of seasons that have passed since the first summer in 2000. From the given data set, we can see that there are 4 summers, 4 autumns, 4 winters, and 4 springs. Since each season is assigned a value of 4, the coded time for Autumn, 2004 would be 4 + 4 + 4 + 4 = 16. However, since the first summer is coded as Time 1, we need to add 1 to the total, resulting in a coded time of 18 for Autumn, 2004.

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• 18.

### Summer 80 Autumn 78 Winter 77 Spring 85 Summer 78 Autumn 81 Winter 78 Spring 83 Summer 79 Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, what is the coded time for Winter, 2004?

19
Explanation
Based on the given data set, the coded time for Winter, 2004 can be determined by counting the number of seasons that have occurred since the first summer in 2000. From 2000 to 2004, there are 4 years, and since each year has 4 seasons, there have been a total of 16 seasons. Adding the initial coded time of 1 for the first summer, the coded time for Winter, 2004 is 16 + 1 = 17. However, since the seasons are coded starting from 0, the coded time for Winter, 2004 would be 17 - 1 = 16. Therefore, the correct answer is 16.

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• 19.

20
• 20.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Tuesday of Week 3?

16
Explanation
The given data set shows the number of coded times for each day of the week. The coded time for Tuesday of Week 3 can be determined by looking at the second occurrence of Tuesday in the data set, which is 45. Therefore, the coded time for Tuesday of Week 3 is 45.

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• 21.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Wednesday of Week 3?

17
Explanation
The coded time for Wednesday of Week 3 can be determined by looking at the data set. The coded time for Wednesday of Week 1 is 46, and the coded time for each subsequent Wednesday decreases by 1. Therefore, the coded time for Wednesday of Week 3 would be 46 - 1 - 1 = 44.

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• 22.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Thursday of Week 3?

18
Explanation
The coded time for Thursday of Week 3 can be found by looking at the data set. The coded time for Thursday of Week 1 is 48, and the coded time for Thursday of Week 2 is 47. Since the coded time decreases by 1 each week, the coded time for Thursday of Week 3 would be 46.

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• 23.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Friday of Week 3?

19
Explanation
The given data set represents the number of coded times for each day of the week. The coded time for Friday of Week 3 can be determined by looking at the corresponding value in the data set, which is 19.

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• 24.

21
• 25.

20
• 26.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Monday of Week 4?

22
Explanation
The given data set represents the number of coded times for each day of the week. The coded time for Monday of the first week is 50. Since each subsequent week has the same pattern of coded times, the coded time for Monday of Week 4 would also be 22.

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• 27.

### Mon 50 Tue 45 Wed 46 Thu 48 Fri 49 Sat 41 Sun 43 Mon 46 Tue 45 Wed 45 Thu 47 Fri 47 Sat 41 Sun 44 Using the above data set, where Mon of the first week is Coded Time 1, what is the Coded time for Tuesday of Week 4?

23
Explanation
The given data set shows the Coded Time for each day of the week for two weeks. The Coded Time for Tuesday of Week 4 can be determined by referring to the second set of data. In that set, the Coded Time for Tuesday is 45. Therefore, the Coded Time for Tuesday of Week 4 is 45.

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• 28.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Winter, 2010. What Season and Year is Coded Time 5? (comma separated)

Winter, 2011
Explanation
The coded time 1 is in winter of 2010. Since each coded time represents a year, we can determine the season and year of coded time 5 by counting forward. Therefore, coded time 5 would be in winter of 2011.

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• 29.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Winter, 2000. What Season and Year is Coded Time 5? (comma separated)

Winter, 2001
Explanation
The given coded times are representing different seasons and years. Coded time 1 is Winter, 2000. Since each coded time represents one year, we can determine the season and year for coded time 5 by counting forward. Therefore, coded time 5 would be Winter, 2001.

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• 30.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2000. What Season and Year is Coded Time 6? (comma separated)

Winter, 2001
Explanation
Coded time 1 is Autumn, 2000. Since each coded time represents a different season and year, we can determine the season and year for coded time 6 by counting the seasons and years that have passed. Coded time 2 is the next season after coded time 1, so it is Winter, 2000. Coded time 3 is the next season after coded time 2, so it is Spring, 2001. Coded time 4 is the next season after coded time 3, so it is Summer, 2001. Coded time 5 is the next season after coded time 4, so it is Autumn, 2001. Finally, coded time 6 is the next season after coded time 5, so it is Winter, 2001.

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• 31.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2000. What Season and Year is Coded Time 7? (comma separated)

Spring, 2001
Explanation
Coded time 1 is Autumn, 2000. Since the seasons progress in a cyclical manner, the next season after Autumn is Winter, followed by Spring. Therefore, Coded Time 7 would be in the Spring season. Additionally, since the question states that Coded Time 1 is in the year 2000, we can infer that Coded Time 7 would be in the following year, which is 2001. Hence, the correct answer is Spring, 2001.

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• 32.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81   Coded time 1 is Autumn, 2010. What Season and Year is Coded Time 7? (comma separated)

Spring, 2011
Explanation
The given coded time 1 is in Autumn, 2010. Since the seasons follow a specific order (Winter, Spring, Summer, Autumn), and each season lasts for 3 months, we can determine the season and year of coded time 7 by counting the number of seasons and years that have passed. From coded time 1 to coded time 7, a total of 2 seasons and 1 year have passed. Therefore, the season and year of coded time 7 is Spring, 2011.

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• 33.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2010. What Season and Year is Coded Time 10? (comma separated)

Winter, 2012
Explanation
The coded time 1 is in Autumn, 2010. Since the seasons follow a fixed order, the next season after Autumn is Winter. Therefore, the season for coded time 10 is Winter. Additionally, since the coded time 1 is in 2010, and each coded time represents a year, the year for coded time 10 is 2010+2=2012. Therefore, the season and year for coded time 10 is Winter, 2012.

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• 34.

Spring, 2012
• 35.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2010. What Season and Year is Coded Time 13? (comma separated)

Autumn, 2013
Explanation
The pattern in the given coded times is not explicitly mentioned in the question. However, by observing the numbers in the second column, we can see that they are fluctuating between 78 and 81. Therefore, it can be inferred that the coded times are representing the seasons and years in which the temperature is either 78 or 81. Based on this pattern, Coded Time 13 would also be Autumn, 2013.

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• 36.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2000. What Season and Year is Coded Time 13? (comma separated)

Autumn, 2003
Explanation
The pattern in the given coded times is not explicitly stated, but it can be observed that the season follows a cycle of Autumn, Winter, Spring, Summer. The years increase by 3 for each season change. Therefore, if Coded Time 1 is Autumn, 2000, Coded Time 13 would be Autumn, 2003.

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• 37.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2003. What Season and Year is Coded Time 13? (comma separated)

Autumn, 2006
Explanation
Each coded time represents a season and a year. Since the coded time 1 is Autumn, 2003, we can determine the pattern that each coded time increases the year by 3. Therefore, coded time 13 would be Autumn, 2003 + (3 * 12) = Autumn, 2006.

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• 38.

### 1 80 2 78 3 77 4 85 5 78 6 81 7 78 8 83 9 79 10 81 Coded time 1 is Autumn, 2003. What Season and Year is Coded Time 14? (comma separated)

Winter, 2006
Explanation
The coded time starts with 1 as Autumn, 2003. Each subsequent coded time represents the next season and year. Since Coded Time 14 comes after Coded Time 1, it means that it is 13 seasons and years later. Counting from Autumn, 2003, 13 seasons and years later would be Winter, 2006. Therefore, the answer is Winter, 2006.

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• 39.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Winter, 2002 is an example of :

• A.

Extrapolation

• B.

Interpolation

A. Extrapolation
Explanation
Extrapolation is the correct answer because it refers to the process of estimating or predicting values outside the range of known data by extending the trend or pattern observed within the data. In this case, since the data only includes information up until the year 2000, predicting the temperature for Winter 2002 would involve extending the trend or pattern observed in the data to make an estimation.

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• 40.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Winter, 2003 is an example of :

• A.

Extrapolation

• B.

Interpolation

A. Extrapolation
Explanation
Extrapolation is the correct answer because it involves predicting or estimating values beyond the range of the given data. In this case, Winter 2003 is being predicted based on the trend observed in the given data set.

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• 41.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Autumn, 2003 is an example of :

• A.

Extrapolation

• B.

Interpolation

A. Extrapolation
Explanation
Extrapolation is the process of estimating or predicting values outside the given data range based on the trend or pattern observed within the data. In this case, since the data set only includes information up to the year 2000, Autumn 2003 is beyond the given range and therefore an example of extrapolation.

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• 42.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Spring, 2003 is an example of :

• A.

Extrapolation

• B.

Interpolation

A. Extrapolation
Explanation
Extrapolation is the correct answer because it involves estimating values beyond the known data points. In this case, Spring 2003 is being estimated based on the trend observed in the given data set. Since the data only goes up until Spring 2000, the estimation for Spring 2003 would require extrapolation.

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• 43.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Summer, 2002 is an example of :

• A.

Extrapolation

• B.

Interpolation

B. Interpolation
Explanation
Interpolation is the process of estimating values within a given set of data points. In this case, the given data set includes multiple years and temperatures for each season. To estimate the temperature for Summer, 2002, we can use the temperatures for the surrounding years (2000 and 2001) to interpolate the value. This involves finding the trend or pattern in the data and using it to make an educated guess about the missing value. Therefore, Summer, 2002 is an example of interpolation.

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• 44.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Spring, 2001 is an example of :

• A.

Extrapolation

• B.

Interpolation

B. Interpolation
Explanation
The given data set provides information about the temperature during different seasons over a period of time. Interpolation refers to estimating a value within the range of known values. In this case, since the temperature for Spring in the year 2001 is not given directly in the data set, it can be estimated by interpolating between the known temperatures of Winter 2000 and Summer 2001. Therefore, Spring 2001 is an example of interpolation.

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• 45.

### Summer80Autumn78Winter77Spring85Summer78Autumn81Winter78Spring83Summer79Using the above data set, where the first summer is in the year 2000, and is Coded Time 1, Autumn, 2001 is an example of :

• A.

Extrapolation

• B.

Interpolation

B. Interpolation
Explanation
Interpolation is the correct answer because it refers to estimating values within a known range based on existing data points. In this case, Autumn 2001 falls within the range of the given data set, and we can estimate its value based on the values of the surrounding seasons (Summer 2000 and Winter 2000).

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