St. Britto Hr. Sec. School - Madurai
12th Business Maths Monthly Test - 2 ( Random Variable and Mathematical expectation )-Aug 2020
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A discrete random variable. X has the following probability distribution
X 0 1 2 3 4 5 6 7 8 P (X) a 3a 5a 7a 9a 11a 13a 15a 17a Find the value of a and P(X < 3)
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Let X be a random variable with cumulative distribution function
F(x)= \(\begin{cases} 0,\quad if\quad x\quad <\quad 0 \\ \frac { x }{ 8 } ,\quad if\quad 0\quad \le \quad x\quad <\quad 1 \\ \frac { 1 }{ 4 } +\frac { x }{ 8 } ,\quad if\quad 1\quad \le \quad x\quad <\quad 2 \\ \frac { 3 }{ 4 } +\frac { x }{ 12 } ,\quad if\quad 2\quad \le \quad x\quad <\quad 3 \\ 1,\quad for\quad 3\quad \le \quad x \end{cases}\)
(a) Compute (i) P(1\(\le\)X\(\le\)2) and (ii) P(X = 3).
(b) Is X a discrete random variable? Justify your answer. -
Define discrete random variable.
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What are the properties of (i) discrete random random variable. i variable and (ii) continuous random variable?
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A player tosses two unbiased coins. He wins Rs.5 if two heads appear, Rs.2 if one head appear and Rs.1 if no head appear. Find the expected amount to win.
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Construct the distribution function for the discrete random variable X whose probability distribution is given below. Also draw a graph of p(x) and F(x).
X = x 1 2 3 4 5 6 7 P(x) 0.10 0.12 0.20 0.30 0.15 0.08 0.05
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If a random variable. X has the probability distribution
X 0 1 2 3 4 5 P (X = x) a 2a 3a 4a 5a 6a then find F(4)
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If a continuous random variable. X has the p.d.f f(x) = 4k(x-1)3, 1\(\le\)x\(\le\)3 then find p[ -2\(\le\)X\(\le\)2]
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A coin is tossed thrice. Let Xbe the number of observed heads. Find the cumulative distribution function of X.
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A random variable X can take all nonnegative integral values and the probabilities that X takes the value r is proportional to ar (0 < a < 1). Find P(X = 0).
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The probability distribution of a discrete random variable. X is given by
X -2 2 5 P (X = x) \(\frac14\) \(\frac14\) \(\frac12 \) then find 4E(X2) - Var (2X)
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If you toss a fair coin three times, the outcome of an experiment consider as random variable which counts the number of heads on the upturned faces. Find out the probability mass function and check the properties of the probability mass function.
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The following information is the probability distribution of successes.
No. of Successes 0 1 2 Probability \(\frac{6}{11}\) \(\frac{9}{22}\) \(\frac{1}{22}\) Determine the expected number of success.
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Determine the mean and variance of the random variable Xhaving the following probability distribution.
X=x 1 2 3 4 5 6 7 8 9 10 P(x) 0.15 0.10 0.10 0.01 0.08 0.01 0.05 0.02 0.28 0.20 -
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A discrete random variable X has the following probability distribution.
x 1 2 3 4 5 6 7 P(X) c 2c 2c 3c c2 2c2 7c2+c Find the value of c. Also, find the mean of the distribution.
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Suppose the life in hours of a radio tube has the probability density function
f(x)={\({ e }^{ \frac { x }{ 100 } },when\quad x\ge 100\\ 0,\quad when\quad x<100\)
Find the mean of the life of a radio tube.
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A commuter train arrives punctually at a station every 25 minutes. Each morning, a commuter leaves his house and casually walks to the train station. Let X denote the amount of time, in minutes, that commuter waits for the train from the time he reaches the train station. It is known that the probability density function of X is
f(x)={\(\frac { 1 }{ 25 } ,\quad for0<x<25\\ 0,\quad otherwise,\)
Obtain and interpret the expected value of the random variable X. -
If f (x) is defined by f(x)=k2-2x, 0\(\le\)x<\(\infty\)is a density function. Determine the constant k and also find mean.