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Question

If a random variable $x$ has the probability distribution
$x$01234567
P(x)02kk3k$2k^2$2k$k^2+k$$7k^2$

then $P(3 < x \le 6)$ is equal to

The correct answer is
0.64

Determine the value of constant k

The sum of probabilities for all possible values of a random variable must equal 1.

Given the probability distribution:

  • $P(x=0) = 0$
  • $P(x=1) = 2k$
  • $P(x=2) = k$
  • $P(x=3) = 3k$
  • $P(x=4) = 2k^2$
  • $P(x=5) = 2k$
  • $P(x=6) = k^2+k$
  • $P(x=7) = 7k^2$

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, $k = \frac{1}{10} = 0.1$.

Calculate the probability $P(3 < x \le 6)$

The required probability $P(3 < x \le 6)$ includes the values $x=4$, $x=5$, and $x=6$.

Calculate the probabilities for these values:

  • $P(x=4) = 2k^2 = 2(0.1)^2 = 2(0.01) = 0.02$
  • $P(x=5) = 2k = 2(0.1) = 0.2$
  • $P(x=6) = k^2+k = (0.1)^2 + 0.1 = 0.01 + 0.1 = 0.11$

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 $
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Similar Questions

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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. 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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    $f_i$862226

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  5. Suppose that the mean and median of the non-negative numbers 21, 8, 17, $a$, 51, 103, $b$, 13, 67, ($a > b$), are 40 and 21, respectively. If the mean deviation about the median is 26, then $2a$ is equal to:
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