If the mean and median of the data are equal, then $xy^2$ is equal tox 0-10 10-20 20-30 30-40 40-50 f 3 6 2 x y $\Sigma f = 20$
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 $xy^2$.
First, use the total frequency information to establish a relationship between $x$ and $y$.
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 mean is calculated using the midpoints of the classes.
We are given that Mean = Median.
Now, solve the system of two linear equations (Equation 1 and Equation 2).
Finally, calculate the required value $xy^2$.
The sum $1+3+11+25+45+71+ ...$ upto 20 terms, is equal to
, $\alpha, \beta \in N$, then $(\alpha + \beta)^2$ 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 :
The sum $1+3+11+25+45+71+ ...$ upto 20 terms, is equal to
, $\alpha, \beta \in N$, then $(\alpha + \beta)^2$ is equal to