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Question

For a given data set $\{x_1, x_2, \ldots, x_n\}$, where $n = 100$, it is known that
$$ \frac{1}{2000} \sum_{i=1}^{n} \sum_{j=1}^{n} (x_i - x_j)^2 = 99 $$
Let us denote $\bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i$.

The value of $\frac{1}{99} \sum_{i=1}^{n} (x_i - \bar{x})^2$ is __________ . (Answer in integer)

Variance Calculation Using Sum of Squared Differences

We are given a dataset $\{x_1, x_2, \ldots, x_n\}$ where $n = 100$. The provided equation is:

$ \frac{1}{2000} \sum_{i=1}^{n} \sum_{j=1}^{n} (x_i - x_j)^2 = 99 $

We need to find the value of:

$ \frac{1}{99} \sum_{i=1}^{n} (x_i - \bar{x})^2 $

where $\bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i$. Let's simplify the double summation term.

Simplifying the Double Summation

The term $\sum_{i=1}^{n} \sum_{j=1}^{n} (x_i - x_j)^2$ can be expanded and simplified. It relates to the sum of squared deviations from the mean ($\sum_{i=1}^{n} (x_i - \bar{x})^2$) by the following identity:

$ \sum_{i=1}^{n} \sum_{j=1}^{n} (x_i - x_j)^2 = 2n \sum_{i=1}^{n} (x_i - \bar{x})^2 $

Solving for the Target Expression

  1. Substitute the identity into the given equation: $ \frac{1}{2000} \left( 2n \sum_{i=1}^{n} (x_i - \bar{x})^2 \right) = 99 $
  2. Substitute the given value $n = 100$: $ \frac{2 \times 100}{2000} \sum_{i=1}^{n} (x_i - \bar{x})^2 = 99 $ $ \frac{200}{2000} \sum_{i=1}^{n} (x_i - \bar{x})^2 = 99 $ $ \frac{1}{10} \sum_{i=1}^{n} (x_i - \bar{x})^2 = 99 $
  3. Isolate the sum of squared deviations: $ \sum_{i=1}^{n} (x_i - \bar{x})^2 = 99 \times 10 = 990 $
  4. Calculate the final required value: $ \frac{1}{99} \sum_{i=1}^{n} (x_i - \bar{x})^2 = \frac{1}{99} (990) $ $ = 10 $

The value is an integer, 10.

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Important Questions from Variance

  1. Consider a random variable $X$ with mean $\mu_X = 0.1$ and variance $\sigma_X^2 = 0.2$. A new random variable $Y = 2X + 1$ is defined. The variance of the random variable $Y$ (rounded off to one decimal place) is ________________.
  2. Variance of the sum of two statistically independent random variables $X$ and $Y$, $\sigma_{X+Y}^2$, is
  3. A continuous random variable $x$ has a probability density function given by 

    $f(x) = e^{-a|x|} \text{ } (-\infty < x < \infty)$ 

    where $a$ is a real constant. The variance of $x$ is __________ (correct up to one decimal place).

  4. Two yarns have variance of strength as $V_1$ and $V_2$. If $V_1 < V_2$, the variance ratio 'F' would be
  5. People were prohibited ________ their vehicles near the entrance of the main administrative building.

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