The average of 15 results is 52. If the average of first 8 results is 56 and that of the last 8 results is 55, then what will be the value of 8th result?
108
The question asks us to find the value of a specific result, the 8th result, given information about the average of a total set of results and the averages of two overlapping subsets. We are given:
Notice that the 8th result is included in both the 'first 8 results' group and the 'last 8 results' group. This overlap is key to solving the problem.
To find the value of a specific result when dealing with averages and overlapping sets, we can use the concept that the average multiplied by the number of results gives the total sum of those results. We will calculate the total sum for each group mentioned.
The sum of the first 8 results includes results 1st through 8th. The sum of the last 8 results includes results 8th through 15th. When we add the sum of the first 8 results and the sum of the last 8 results, the 8th result is counted twice.
Let the results be \(R_1, R_2, \dots, R_{15}\). Sum of first 8 results = \(R_1 + R_2 + \dots + R_8\) Sum of last 8 results = \(R_8 + R_9 + \dots + R_{15}\)
Adding these two sums gives:
\( (\text{Sum of first 8}) + (\text{Sum of last 8}) = (R_1 + \dots + R_8) + (R_8 + \dots + R_{15}) \)
This can be rewritten as:
\( (\text{Sum of first 8}) + (\text{Sum of last 8}) = (R_1 + \dots + R_{15}) + R_8 \)
Notice that \(R_1 + \dots + R_{15}\) is the sum of all 15 results. So, we have:
\( (\text{Sum of first 8}) + (\text{Sum of last 8}) = (\text{Sum of 15 results}) + (\text{Value of 8th result}) \)
We can rearrange this equation to find the value of the 8th result:
\[ \text{Value of 8th result} = (\text{Sum of first 8}) + (\text{Sum of last 8}) - (\text{Sum of 15 results}) \]
Now, substitute the sums we calculated:
\[ \text{Value of 8th result} = 448 + 440 - 780 \]
\[ \text{Value of 8th result} = 888 - 780 \]
\[ \text{Value of 8th result} = 108 \]
The value of the 8th result is 108.
| Description | Average | Number of Results | Total Sum |
|---|---|---|---|
| All 15 results | 52 | 15 | \(52 \times 15 = 780\) |
| First 8 results | 56 | 8 | \(56 \times 8 = 448\) |
| Last 8 results | 55 | 8 | \(55 \times 8 = 440\) |
Value of 8th result = (Sum of first 8) + (Sum of last 8) - (Sum of 15)
Value of 8th result = \(448 + 440 - 780\)
Value of 8th result = \(888 - 780\)
Value of 8th result = \(108\)
Based on the calculations, the value of the 8th result is 108. This method works because the 8th result is the only one counted in both the group of the first 8 and the group of the last 8. By adding the sums of these two overlapping groups and subtracting the sum of the total group, we isolate the value of the overlapping element.
| Concept | Formula/Explanation | Application in Problem |
|---|---|---|
| Average | Sum of results / Number of results | Given averages of 15, first 8, last 8 results. |
| Sum of results | Average × Number of results | Used to calculate total sums for each group (15, first 8, last 8). |
| Overlapping Sets | When a result is in multiple groups, adding the sums of these groups counts the overlapping result multiple times. | The 8th result is in 'first 8' and 'last 8', hence counted twice in (Sum of first 8 + Sum of last 8). |
| Finding Overlapping Element | Sum of overlapping groups - Sum of total non-overlapping set = Value of overlapping element | \((\text{Sum of first 8}) + (\text{Sum of last 8}) - (\text{Sum of 15}) = \text{Value of 8th result}\) |
An average, also known as the arithmetic mean, is a fundamental concept in statistics. It represents a typical value for a set of numbers. The formula for the average of a set of numbers is:
\[ \text{Average} = \frac{\text{Sum of all values}}{\text{Number of values}} \]
Averages are useful for summarizing data, comparing different sets of data, and understanding the central tendency of a distribution. In problems involving averages, it's crucial to correctly identify the number of items in each set and the corresponding total sum.
In this specific problem, recognizing the overlap of the 8th result in both subsets is key. The technique used here is applicable to any similar problem where an element is counted in two subsets whose combined size is greater than the total set size.
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