To solve this problem, we need to find the mean deviation about the mean for the 6 observations given. Let's break down the solution in a step-by-step manner:
Set Up the Equations for Mean and Variance:
Let the six observations be \(x_1 = -3\), \(x_2 = 4\), \(x_3 = 7\), \(x_4 = -6\), \(x_5 = a\), and \(x_6 = b\). Given that the mean of these observations is 2,
we have: \[ \frac{-3 + 4 + 7 - 6 + a + b}{6} = 2 \]
Simplifying, we get: \[ 2 + a + b = 12 \implies a + b = 10 \]
Calculate the Variance:
The variance of the observations is given as 23. We know that:
\[ \text{Variance} = \frac{\sum_{i=1}^6 x_i^2}{6} - \left(\frac{\sum_{i=1}^6 x_i}{6}\right)^2 \]
Substitute the mean (2) and solve for the sum of squares:
\[ \frac{(-3)^2 + 4^2 + 7^2 + (-6)^2 + a^2 + b^2}{6} - 2^2 = 23 \]
Calculating each term, we find:
\[ \frac{9 + 16 + 49 + 36 + a^2 + b^2}{6} - 4 = 23 \]
Simplifying: \[ 110 + a^2 + b^2 = 162 \implies a^2 + b^2 = 52 \]
Solve for \(a\) and \(b\):
We now have two equations: \[ a + b = 10 \quad \text{and} \quad a^2 + b^2 = 52 \]
Using the identity \((a + b)^2 = a^2 + b^2 + 2ab\):
\[ 10^2 = 52 + 2ab \implies 100 = 52 + 2ab \implies ab = 24 \]
Solving these equations, we find \(a = 4\) and \(b = 6\) (or vice versa).
Calculate the Mean Deviation about the Mean:
The mean deviation about the mean (2) is given by:
\[ \frac{|x_1 - 2| + |x_2 - 2| + |x_3 - 2| + |x_4 - 2| + |x_5 - 2| + |x_6 - 2|}{6} \]
Substitute the values \(x_1 = -3\), \(x_2 = 4\), \(x_3 = 7\), \(x_4 = -6\), \(x_5 = 4\), and \(x_6 = 6\):
\[ \frac{| -3 - 2| + |4 - 2| + |7 - 2| + |-6 - 2| + |4 - 2| + |6 - 2|}{6} = \frac{5 + 2 + 5 + 8 + 2 + 4}{6} = \frac{26}{6} = \frac{13}{3} \]

For a statistical data \( x_1, x_2, \dots, x_{10} \) of 10 values, a student obtained the mean as 5.5 and \[ \sum_{i=1}^{10} x_i^2 = 371. \] He later found that he had noted two values in the data incorrectly as 4 and 5, instead of the correct values 6 and 8, respectively.
The variance of the corrected data is:
Let $x_1, x_2, \ldots, x_{10}$ be ten observations such that
\[\sum_{i=1}^{10} (x_i - 2) = 30, \quad \sum_{i=1}^{10} (x_i - \beta)^2 = 98, \quad \beta > 2\]
and their variance is $\frac{4}{5}$. If $\mu$ and $\sigma^2$ are respectively the mean and the variance of
\[ 2(x_1 - 1) + 4\beta, 2(x_2 - 1) + 4\beta, \ldots, 2(x_{10} - 1) + 4\beta\]
then $\frac{\beta \mu}{\sigma^2}$ is equal to:
What will be the equilibrium constant of the given reaction carried out in a \(5 \,L\) vessel and having equilibrium amounts of \(A_2\) and \(A\) as \(0.5\) mole and \(2 \times 10^{-6}\) mole respectively?
The reaction : \(A_2 \rightleftharpoons 2A\)
A black body is at a temperature of 2880 K. The energy of radiation emitted by this body with wavelength between 499 nm and 500 nm is U1, between 999 nm and 1000 nm is U2 and between 1499 nm and 1500 nm is U3. The Wien's constant, b = 2.88×106 nm-K. Then,