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
Variance of the following discrete frequency distribution is:
\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Class Interval} & 0-2 & 2-4 & 4-6 & 6-8 & 8-10 \\ \hline \text{Frequency (}f_i\text{)} & 2 & 3 & 5 & 3 & 2 \\ \hline \end{array} \]