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Question

Consider the following frequency distribution :

Class0 - 66 - 1212 - 1818 - 2424 - 30
Frequencyab1295

If mean = $\frac{309}{22}$ and median=$14$, then the value $(a - b)^2$ is equal to ________.

Solving Frequency Distribution Problems with Mean and Median

We are given a frequency distribution and need to find the value of $(a - b)^2$. The mean and median are provided.

Given Data:

Class Frequency
0 - 6 $a$
6 - 12 $b$
12 - 18 12
18 - 24 9
24 - 30 5

Mean = $\frac{309}{22}$

Median = 14

Median Calculation

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 = $L + \frac{\frac{N}{2} - CF_{prev}}{f} \times h$

  • $L$ (Lower limit of the median class) = 12
  • $h$ (Class width) = 6
  • $f$ (Frequency of the median class) = 12
  • $CF_{prev}$ (Cumulative frequency of the class preceding the median class) = $a + b$
  • $N = a + b + 26$

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)

Mean Calculation

Now, let's use the mean formula. First, we find the class marks ($x_i$):

  • Class 0-6: $x_i = \frac{0+6}{2} = 3$
  • Class 6-12: $x_i = \frac{6+12}{2} = 9$
  • Class 12-18: $x_i = \frac{12+18}{2} = 15$
  • Class 18-24: $x_i = \frac{18+24}{2} = 21$
  • Class 24-30: $x_i = \frac{24+30}{2} = 27$

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)

Solving for 'a' and 'b'

We have a system of two linear equations:

  1. $a + b = 18$
  2. $a + 3b = 38$

Subtract Equation 1 from Equation 2:

$(a + 3b) - (a + b) = 38 - 18$

$2b = 20$

$b = 10$

Substitute $b=10$ into Equation 1:

$a + 10 = 18$

$a = 8$

Final Calculation

We need to find the value of $(a - b)^2$.

$(a - b)^2 = (8 - 10)^2$

$(a - b)^2 = (-2)^2$

$(a - b)^2 = 4$

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Similar Questions

  1. Let $X = \{x \in \mathbb{N} : 1 \leq x \leq 19\}$ and for some $a, b \in \mathbb{R}, Y = \{ax + b : x \in X\}$. If the mean and variance of the elements of $Y$ are 30 and 750, respectively, then the sum of all possible values of $b$ is
  2. A random variable $X$ takes values $0, 1, 2, 3$ with probabilities $\frac{2a+1}{30}, \frac{8a-1}{30}, \frac{4a+1}{30}, b$ respectively, where $a, b \in \mathbf{R}$. Let $\mu$ and $\sigma$ respectively be the mean and standard deviation of $X$ such that $\sigma^2 + \mu^2 = 2$. Then $\frac{a}{b}$ is equal to :
  3. If the mean and median of the data

    x0-1010-2020-3030-4040-50 
    f362xy$\Sigma f = 20$

    are equal, then $xy^2$ is equal to

  4. If the mean of the data: 7,8,9,7,8,7,$\lambda$,8 is 8, then the variance of this data is :-

  5. 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 :

  6. For 10 observations $x_1, x_2, \dots, x_{10}$, if $\sum_{i=1}^{10} (x_i + 2)^2 = 180$ and $\sum_{i=1}^{10} (x_i - 1)^2 = 90$, then their standard deviation is:
  7. The mean and variance of a data of 10 observations are 10 and 2, respectively. If an observation $\alpha$ in this data is replaced by $\beta$, then the mean and variance become 10.1 and 1.99, respectively. Then $\alpha + \beta$ equals
  8. The mean and standard deviation of 100 observations are 40 and 5.1, respectively. By mistakeone observation is taken as 50 instead of 40. If the correct mean and the correct standarddeviation are $\mu$ and $\sigma$ respectively, then $10(\mu +\sigma)$ is equal to
  9. The probability distribution of a random variable X is given below :
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  10. 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. 

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Important Questions from Measures of Dispersion and Probability

  1. Let $X = \{x \in \mathbb{N} : 1 \leq x \leq 19\}$ and for some $a, b \in \mathbb{R}, Y = \{ax + b : x \in X\}$. If the mean and variance of the elements of $Y$ are 30 and 750, respectively, then the sum of all possible values of $b$ is
  2. A random variable $X$ takes values $0, 1, 2, 3$ with probabilities $\frac{2a+1}{30}, \frac{8a-1}{30}, \frac{4a+1}{30}, b$ respectively, where $a, b \in \mathbf{R}$. Let $\mu$ and $\sigma$ respectively be the mean and standard deviation of $X$ such that $\sigma^2 + \mu^2 = 2$. Then $\frac{a}{b}$ is equal to :
  3. If the mean and median of the data

    x0-1010-2020-3030-4040-50 
    f362xy$\Sigma f = 20$

    are equal, then $xy^2$ is equal to

  4. If the mean of the data: 7,8,9,7,8,7,$\lambda$,8 is 8, then the variance of this data is :-

  5. 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 :

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