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Question

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

The correct answer is
54

Frequency Distribution and Data Analysis

The problem provides a frequency distribution with unknown frequencies $x$ and $y$. We are given that the mean and median of the data are equal, and the total frequency $\Sigma f = 20$. We need to find the value of $xy^2$.

Calculating Unknown Frequencies

First, use the total frequency information to establish a relationship between $x$ and $y$.

  • Total frequency: $3 + 6 + 2 + x + y = 20$
  • Simplifying, we get: $11 + x + y = 20$
  • This gives us our first equation: $x + y = 9$ (Equation 1)

Finding the Median Class

To find the median, we need the cumulative frequencies (CF). The total number of observations $N = 20$, so $N/2 = 10$. The median class is the class where the cumulative frequency first equals or exceeds $N/2$.

Class Interval Frequency ($f$) Midpoint ($x_i$) Cumulative Frequency (CF)
0-10 3 5 3
10-20 6 15 $3 + 6 = 9$
20-30 2 25 $9 + 2 = 11$
30-40 $x$ 35 $11 + x$
40-50 $y$ 45 $11 + x + y = 20$

  • The cumulative frequency reaches 11 in the 20-30 class. Since $10$ falls within this cumulative frequency range, the median class is 20-30.
  • Median Formula: Median $= L + \frac{\frac{N}{2} - CF}{f} \times h$
  • Here, $L = 20$ (lower limit), $N/2 = 10$, $CF = 9$ (CF of preceding class), $f = 2$ (frequency of median class), $h = 10$ (class width).
  • Median $= 20 + \frac{10 - 9}{2} \times 10 = 20 + \frac{1}{2} \times 10 = 20 + 5 = 25$.

Calculating the Mean

The mean is calculated using the midpoints of the classes.

  • Mean Formula: Mean $= \frac{\Sigma (f \cdot x_i)}{\Sigma f}$
  • $\Sigma (f \cdot x_i) = (3 \times 5) + (6 \times 15) + (2 \times 25) + (x \times 35) + (y \times 45)$
  • $\Sigma (f \cdot x_i) = 15 + 90 + 50 + 35x + 45y = 155 + 35x + 45y$
  • Mean $= \frac{155 + 35x + 45y}{20}$

Equating Mean and Median

We are given that Mean = Median.

  • $\frac{155 + 35x + 45y}{20} = 25$
  • $155 + 35x + 45y = 20 \times 25 = 500$
  • $35x + 45y = 500 - 155 = 345$
  • Divide by 5: $7x + 9y = 69$ (Equation 2)

Solving for x and y

Now, solve the system of two linear equations (Equation 1 and Equation 2).

  • From Equation 1: $x = 9 - y$.
  • Substitute this into Equation 2: $7(9 - y) + 9y = 69$
  • $63 - 7y + 9y = 69$
  • $63 + 2y = 69$
  • $2y = 69 - 63 = 6$
  • $y = 3$.
  • Substitute $y=3$ back into $x = 9 - y$: $x = 9 - 3 = 6$.
  • So, $x=6$ and $y=3$.

Calculating xy²

Finally, calculate the required value $xy^2$.

  • $xy^2 = (6) \times (3)^2$
  • $xy^2 = 6 \times 9$
  • $xy^2 = 54$.
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Similar Questions

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  2. \[\sum_{r=1}^{9} \left( \frac{r+3}{2^{r}} \right).^{9}C_{r} = \alpha \left( \frac{3}{2} \right)  ^{9} - \beta\]

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  3. Let the mean and the standard deviation of the observation $2, 3, 3, 4, 5, 7, a, b$ be 4 and $\sqrt{2}$ respectively. Then the mean deviation about the mode of these observations is :
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Important Questions from Measures of Dispersion and Probability

  1. The sum $1+3+11+25+45+71+ ...$ upto 20 terms, is equal to

  2. \[\sum_{r=1}^{9} \left( \frac{r+3}{2^{r}} \right).^{9}C_{r} = \alpha \left( \frac{3}{2} \right)  ^{9} - \beta\]

    , $\alpha, \beta \in N$, then $(\alpha + \beta)^2$ is equal to

  3. Let the mean and the standard deviation of the observation $2, 3, 3, 4, 5, 7, a, b$ be 4 and $\sqrt{2}$ respectively. Then the mean deviation about the mode of these observations is :
  4. A card from a pack of 52 cards is lost. From the remaining 51 cards, $n$ cards are drawn and are found to be spades. If the probability of the lost card to be a spade is $\frac{11}{50}$, then $n$ is equal to
  5. 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
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