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Question

The sum of deviations of n numbers from 10 and 20 are p and q respectively. If (p - q)2 = 10000, then what is the value of n?

This question was previously asked in
NDA I 2023 GAT Previous Year Paper (16-Apr-2023)
The correct answer is

10

Understanding the Problem: Sum of Deviations

The question asks us to find the number of items, denoted by 'n', given information about the sum of deviations of these 'n' numbers from two different values, 10 and 20. The sum of deviations from 10 is given as 'p', and the sum of deviations from 20 is given as 'q'. We are also provided with an equation relating p and q: \(\left(p - q\right)^2 = 10000\).

The deviation of a single number \(x_i\) from a constant 'a' is defined as \(\left(x_i - a\right)\). The sum of deviations of n numbers \(x_1, x_2, \dots, x_n\) from a constant 'a' is the sum of the individual deviations:

\(\sum_{i=1}^{n} \left(x_i - a\right)\)

Formulating the Sums of Deviations

Based on the problem description, we can write the expressions for p and q:

  • p: The sum of deviations of the n numbers from 10.

    Mathematically, \(p = \sum_{i=1}^{n} \left(x_i - 10\right)\).

    We can expand this sum:

    \(p = \sum_{i=1}^{n} x_i - \sum_{i=1}^{n} 10\)

    The sum of a constant 'c' n times is simply \(n \times c\). So, \(\sum_{i=1}^{n} 10 = 10n\).

    Thus, \(p = \sum_{i=1}^{n} x_i - 10n\).

  • q: The sum of deviations of the n numbers from 20.

    Mathematically, \(q = \sum_{i=1}^{n} \left(x_i - 20\right)\).

    We can expand this sum:

    \(q = \sum_{i=1}^{n} x_i - \sum_{i=1}^{n} 20\)

    The sum of a constant 20 n times is \(20n\). So, \(\sum_{i=1}^{n} 20 = 20n\).

    Thus, \(q = \sum_{i=1}^{n} x_i - 20n\).

Using the Given Relationship to Find n

We are given the relationship \(\left(p - q\right)^2 = 10000\). Let's first find the expression for \(\left(p - q\right)\).

Substitute the expressions for p and q:

\(p - q = \left(\sum_{i=1}^{n} x_i - 10n\right) - \left(\sum_{i=1}^{n} x_i - 20n\right)\)

Carefully remove the parentheses. Remember that subtracting a negative term results in adding a positive term:

\(p - q = \sum_{i=1}^{n} x_i - 10n - \sum_{i=1}^{n} x_i + 20n\)

Notice that the term \(\sum_{i=1}^{n} x_i\) cancels out:

\(p - q = -10n + 20n\)

\(p - q = 10n\)

Now, substitute this expression for \(\left(p - q\right)\) into the given equation:

\(\left(10n\right)^2 = 10000\)

Square the term on the left side:

\(100n^2 = 10000\)

Now, solve for \(n^2\) by dividing both sides by 100:

\(n^2 = \frac{10000}{100}\)

\(n^2 = 100\)

To find n, take the square root of both sides:

\(n = \sqrt{100}\)

\(n = \pm 10\)

Since 'n' represents the number of items, it must be a positive value. Therefore, we take the positive root.

\(n = 10\)

Conclusion

The value of n is 10.

Let's check this against the given options:

  • Option 1: 10
  • Option 2: 20
  • Option 3: 50
  • Option 4: 100

Our calculated value \(n=10\) matches Option 1.

Concept Formula/Definition Value in this problem
Sum of deviations from 'a' \(\sum_{i=1}^{n} (x_i - a)\) p (from 10), q (from 20)
p \(\sum x_i - 10n\) Given as 'p'
q \(\sum x_i - 20n\) Given as 'q'
Relationship \((p - q)^2 = 10000\) Given
p - q \(10n\) Derived
Value of n 10 Calculated

Revision Table: Key Calculations

Step Calculation/Expression Notes
Define p \(p = \sum x_i - 10n\) Sum of deviations from 10
Define q \(q = \sum x_i - 20n\) Sum of deviations from 20
Calculate p - q \((\sum x_i - 10n) - (\sum x_i - 20n) = 10n\) Difference of sums
Use given equation \((p - q)^2 = 10000\) Problem condition
Substitute and solve \((10n)^2 = 10000 \Rightarrow 100n^2 = 10000 \Rightarrow n^2 = 100 \Rightarrow n = 10\) Algebraic solution for n

Additional Information: Sum of Deviations Property

An important property related to the sum of deviations is that the sum of deviations of a set of numbers from their arithmetic mean is always zero.

Let \(\bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i\) be the mean of the n numbers.

The sum of deviations from the mean is \(\sum_{i=1}^{n} (x_i - \bar{x})\).

Expanding this sum: \(\sum_{i=1}^{n} x_i - \sum_{i=1}^{n} \bar{x} = \sum x_i - n\bar{x}\).

Since \(\bar{x} = \frac{\sum x_i}{n}\), we have \(n\bar{x} = \sum x_i\).

So, \(\sum x_i - n\bar{x} = \sum x_i - \sum x_i = 0\).

In this problem, the sum of deviations from 10 (p) and from 20 (q) are generally not zero, because 10 and 20 are not necessarily the mean of the n numbers. The difference \((p-q)\), however, depends only on n and the constants used (10 and 20), not on the numbers \(x_i\) themselves.

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Similar Questions

  1. Mean of 100 observations is 50 and standard deviation is 10. If 5 is added to each observation, then what will be the new mean and new standard deviation respectively?

  2. If \(\rm \displaystyle \sum_{i = 1}^{10}x_i = 110\)  and  \(\rm \displaystyle \sum_{i = 1}^{10}x_i^2 = 1540\)   then what is the variance?

  3. In any discrete series (when all values are not same) if x represent mean deviation about mean and y represent standard deviation, then which one of the following is correct?

  4. If V is the variance and M is the mean of first 15 natural numbers, then what is V + M 2equal to?

  5. Which one of the following subjects shows highest variability of marks ?

  6. What is the coefficient of variation of marks in Mathematics ?

  7. Arithmetic mean of 10 observations is 60 and sum of squares of deviations from 50 is 5000. What is the standard deviation of the observations?

  8. Consider the following statements:

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    2) IF 10 is added to each entry on a list, then the standard deviation increases by 10

    3) if each entry on a list is doubled then the average doubles

    What of the above statements are correct?

  9. The variance of 25 observations is 4. If 2 is added to each observation, then the new variance of the resulting observations is

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Important Questions from Variance and Standard Deviation

  1. Mean of 100 observations is 50 and standard deviation is 10. If 5 is added to each observation, then what will be the new mean and new standard deviation respectively?

  2. When sampling is done without replacement then standard error of mean is:

  3. Consider a population that is finite, and sampling is with replacement. If the variance of the population is 2176.8 with a sample size of 16, then the variance of the sampling distribution of means is:

  4. If \(\rm \displaystyle \sum_{i = 1}^{10}x_i = 110\)  and  \(\rm \displaystyle \sum_{i = 1}^{10}x_i^2 = 1540\)   then what is the variance?

  5. The fourth central moment of a mesokurtic distribution is 243. Its standard deviation is:

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