$x$ 0 1 2 3 4 5 6 7 P(x) 0 2k k 3k $2k^2$ 2k $k^2+k$ $7k^2$
then $P(3 < x \le 6)$ is equal to
The sum of probabilities for all possible values of a random variable must equal 1.
Given the probability distribution:
Summing these probabilities gives:
$ \sum_{x=0}^{7} P(x) = 0 + 2k + k + 3k + 2k^2 + 2k + k^2 + k + 7k^2 $ $ \sum P(x) = (2+1+3+2+1)k + (2+1+7)k^2 $ $ \sum P(x) = 9k + 10k^2 $Set the sum equal to 1:
$ 10k^2 + 9k = 1 $Rearrange into a standard quadratic equation:
$ 10k^2 + 9k - 1 = 0 $Factor the quadratic equation:
$ (10k - 1)(k + 1) = 0 $This gives two possible values for $k$: $k = \frac{1}{10}$ or $k = -1$. Since probabilities must be non-negative, $k$ must be positive.
Therefore, $k = \frac{1}{10} = 0.1$.
The required probability $P(3 < x \le 6)$ includes the values $x=4$, $x=5$, and $x=6$.
Calculate the probabilities for these values:
Sum these probabilities:
$ P(3 < x \le 6) = P(x=4) + P(x=5) + P(x=6) $ $ P(3 < x \le 6) = 0.02 + 0.2 + 0.11 $ $ P(3 < x \le 6) = 0.33 $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 :-
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
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