Explanation:
We know the mean of 10 observations is 5. So, the total sum of the 10 observations is:
$\frac{x_1+x_2+x_3+\ldots+x_8+x_9+x_{10}}{10}=5$
Multiplying both sides by 10 gives:
$x_1+x_2+x_3+\ldots+x_8+x_9+x_{10}=50$
The mean of the first 8 observations is 4, so their total sum is:
$\frac{x_1+x_2+\ldots+x_8}{8}=4$
Therefore,
$x_1+x_2+\ldots+x_8=32$
Subtracting, we get:
$x_9+x_{10}=50-32=18$
Next, we use the formula for variance of the 10 observations:
$\text{Variance} = \frac{\sum\limits_{i=1}^{10} x_i^2}{10} - (\text{mean})^2$
Substitute the given values to find the total of squares:
$\frac{\sum\limits_{i=1}^{10} x_i^2}{10} - 25 = 7$
$\sum\limits_{i=1}^{10} x_i^2 = 320$
Similarly, for the first 8 observations:
$\frac{\sum\limits_{i=1}^{8} x_i^2}{8} - 16 = 3.5$
$\sum\limits_{i=1}^{8} x_i^2 = 156$
Now, subtract the two results:
$x_9^2 + x_{10}^2 = 320 - 156 = 164$
We already know:
$x_9 + x_{10} = 18$
Expanding $ (x_9 + x_{10})^2 $, we get:
$x_9^2 + x_{10}^2 + 2x_9x_{10} = 324$
Substitute $x_9^2 + x_{10}^2 = 164$:
$164 + 2x_9x_{10} = 324$
$x_9x_{10} = 80$
Now, we have two equations:
$x_9 + x_{10} = 18$
$x_9x_{10} = 80$
Solving the quadratic $t^2 - 18t + 80 = 0$, we get $t = 8$ and $10$. Given $x_9 < x_{10}$, so $x_9 = 8$ and $x_{10} = 10$.
Finally,
$3x_9 + 2x_{10} = 3(8) + 2(10) = 44$
Consider the following frequency distribution:
| Value | 4 | 5 | 8 | 9 | 6 | 12 | 11 |
|---|---|---|---|---|---|---|---|
| Frequency | 5 | $f_1$ | $f_2$ | 2 | 1 | 1 | 3 |
Suppose that the sum of the frequencies is 19 and the median of this frequency distribution is 6.
For the given frequency distribution, let $\alpha$ denote the mean deviation about the mean, $\beta$ denote the mean deviation about the median, and $\sigma^2$ denote the variance.
Match each entry in List-I to the correct entry in List-II and choose the correct option.
| List – I | List – II |
|---|---|
| (P) 7 f1 + 9 f2 is equal to | (1) 146 |
| (Q) 19 α is equal to | (2) 47 |
| (R) 19 β is equal to | (3) 48 |
| (S) 19 σ2 is equal to | (4) 145 |
| (5) 55 |
(P) → (5) (Q) → (3) (R) → (2) (S) → (4)
(P) → (5) (Q) → (2) (R) → (3) (S) → (1)
(P) → (5) (Q) → (3) (R) → (2) (S) → (1)
(P) → (3) (Q) → (2) (R) → (5) (S) → (4)
$ \begin{array}{ccccccc} x_i & 3 & 8 & 11 & 10 & 5 & 4 \\ f_i & 5 & 2 & 3 & 2 & 4 & 4 \end{array} $
Match each entry in List-I to the correct entries in List-II.
| List - I | List - II |
|---|---|
| (P) The mean of the above data is | (1) 2.5 |
| (Q) The median of the above data is | (2) 5 |
| (R) The mean deviation about the mean of the above data is | (3) 6 |
| (S) The mean deviation about the median of the above data is | (4) 2.7 |
| (5) 2.4 |
The correct option is:
