Given Information:
We need to find the new mean a and variance b of the remaining 6 observations, and then calculate a + b.
The mean of 7 observations is given by:
μ = sum of observations / 7
Given that the mean is 8:
8 = sum of observations / 7
Thus, the sum of the observations is:
sum of observations = 8 × 7 = 56
The formula for variance is:
σ² = Σ(xᵢ - μ)² / 7
We are told that the variance is 16, so:
16 = Σ(xᵢ - 8)² / 7
Multiplying both sides by 7:
Σ(xᵢ - 8)² = 16 × 7 = 112
This represents the sum of squared deviations of the 7 observations from the mean.
When the number 14 is omitted, we are left with 6 observations. We need to find the new sum of squared deviations and the new mean for these 6 observations.
After removing the observation 14, the new sum of the remaining 6 observations is:
new sum of observations = 56 - 14 = 42
The new mean of the remaining 6 observations is:
a = new sum of observations / 6 = 42 / 6 = 7
To calculate the new variance, we first subtract the squared deviation of 14 from the total sum of squared deviations. The squared deviation of 14 from the mean is:
(14 - 8)² = 6² = 36
So, the new sum of squared deviations for the remaining 6 observations is:
Σ(xᵢ - 8)² = 112 - 36 = 76
Now, the new variance b is:
b = 76 / 6 = 38 / 3 ≈ 12.67
Now, we calculate a + b, where a = 7 and b = 38 / 3.
a + b = 7 + 38 / 3 = 21 / 3 + 38 / 3 = 59 / 3
This simplifies to approximately:
a + b ≈ 19.67

A substance 'X' (1.5 g) dissolved in 150 g of a solvent 'Y' (molar mass = 300 g mol$^{-1}$) led to an elevation of the boiling point by 0.5 K. The relative lowering in the vapour pressure of the solvent 'Y' is $____________ \(\times 10^{-2}\). (nearest integer)
[Given : $K_{b}$ of the solvent = 5.0 K kg mol$^{-1}$]
Assume the solution to be dilute and no association or dissociation of X takes place in solution.
Inductance of a coil with \(10^4\) turns is \(10\,\text{mH}\) and it is connected to a DC source of \(10\,\text{V}\) with internal resistance \(10\,\Omega\). The energy density in the inductor when the current reaches \( \left(\frac{1}{e}\right) \) of its maximum value is \[ \alpha \pi \times \frac{1}{e^2}\ \text{J m}^{-3}. \] The value of \( \alpha \) is _________.
\[ (\mu_0 = 4\pi \times 10^{-7}\ \text{TmA}^{-1}) \]