Consider the following frequency distribution : If mean = $\frac{309}{22}$ and median=$14$, then the value $(a - b)^2$ is equal to ________.Class 0 - 6 6 - 12 12 - 18 18 - 24 24 - 30 Frequency a b 12 9 5
We are given a frequency distribution and need to find the value of $(a - b)^2$. The mean and median are provided.
| Class | Frequency |
|---|---|
| 0 - 6 | $a$ |
| 6 - 12 | $b$ |
| 12 - 18 | 12 |
| 18 - 24 | 9 |
| 24 - 30 | 5 |
Mean = $\frac{309}{22}$
Median = 14
First, let's find the total number of observations, $N$.
$N = a + b + 12 + 9 + 5 = a + b + 26$
The median value is 14. Since the class width is 6, the median (14) falls within the 12 - 18 class.
The formula for the median is:
Median = $L + \frac{\frac{N}{2} - CF_{prev}}{f} \times h$
Substituting the values into the formula:
$14 = 12 + \frac{\frac{a + b + 26}{2} - (a + b)}{12} \times 6$
$2 = \frac{\frac{a + b + 26 - 2(a + b)}{2}}{2}$
$4 = \frac{26 - a - b}{2}$
$8 = 26 - a - b$
Rearranging gives our first equation:
$a + b = 18$ (Equation 1)
Now, let's use the mean formula. First, we find the class marks ($x_i$):
The mean formula is:
Mean = $\frac{\sum f_i x_i}{N}$
Calculate $\sum f_i x_i$:
$\sum f_i x_i = (a \times 3) + (b \times 9) + (12 \times 15) + (9 \times 21) + (5 \times 27)$
$\sum f_i x_i = 3a + 9b + 180 + 189 + 135 = 3a + 9b + 504$
We know $N = a + b + 26$. From Equation 1, $a + b = 18$. So, $N = 18 + 26 = 44$.
Substitute the values into the mean formula:
$\frac{309}{22} = \frac{3a + 9b + 504}{44}$
Multiply both sides by 44:
$(\frac{309}{22}) \times 44 = 3a + 9b + 504$
$309 \times 2 = 3a + 9b + 504$
$618 = 3a + 9b + 504$
$3a + 9b = 618 - 504$
$3a + 9b = 114$
Divide by 3:
$a + 3b = 38$ (Equation 2)
We have a system of two linear equations:
Subtract Equation 1 from Equation 2:
$(a + 3b) - (a + b) = 38 - 18$
$2b = 20$
$b = 10$
Substitute $b=10$ into Equation 1:
$a + 10 = 18$
$a = 8$
We need to find the value of $(a - b)^2$.
$(a - b)^2 = (8 - 10)^2$
$(a - b)^2 = (-2)^2$
$(a - b)^2 = 4$
If the mean and median of the data
| x | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | |
| f | 3 | 6 | 2 | x | y | $\Sigma f = 20$ |
are equal, then $xy^2$ is equal to
If the mean of the data: 7,8,9,7,8,7,$\lambda$,8 is 8, then the variance of this data is :-
Four dice are thrown simultaneously and the numbers shown on these dice are recorded in $2\times2$ matrices. The probability that such formed matrices have all different entries and are non-singular, is :
| X | $4\text{k}$ | $\frac{30}{7}\text{k}$ | $\frac{32}{7}\text{k}$ | $\frac{34}{7}\text{k}$ | $\frac{36}{7}\text{k}$ | $\frac{38}{7}\text{k}$ | $\frac{40}{7}\text{k}$ | $6\text{k}$ |
| P(X) | $\frac{2}{15}$ | $\frac{1}{15}$ | $\frac{2}{15}$ | $\frac{1}{5}$ | $\frac{1}{15}$ | $\frac{2}{15}$ | $\frac{1}{5}$ | $\frac{1}{15}$ |
Let the mean and variance of 8 numbers $-10, -7, -1, x, y, 9, 2, 16$ be $\frac{7}{2}$ and $\frac{293}{4}$, respectively.
Then the mean of 4 numbers $x, y, x + y + 1, |x - y|$ is :
If the mean and median of the data
| x | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | |
| f | 3 | 6 | 2 | x | y | $\Sigma f = 20$ |
are equal, then $xy^2$ is equal to
If the mean of the data: 7,8,9,7,8,7,$\lambda$,8 is 8, then the variance of this data is :-
Four dice are thrown simultaneously and the numbers shown on these dice are recorded in $2\times2$ matrices. The probability that such formed matrices have all different entries and are non-singular, is :