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Engineering Maths · all questions

Probability and Statistics
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The probability that a communication system will have high fidelity is 0.81. The probability that the system will have both high fidelity and high selectivity is 0.18. The probability that a given system with high fidelity will have high selectivity is

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Suppose A and B are two independent events with probabilities P(A) ≠ 0 and P(B) ≠ 0. Let and be their complements. Which one of the following statements is FALSE?

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Probability density function of a random variable X is given below
{\text{f}}\left( {\text{x}} \right) = \left[ {\begin{array}{*{20}{c}} {0.25}&{{\text{if }}1 \leqslant {\text{x}} \geqslant 5} \\ 0&{{\text{otherwise}}} \end{array}} \right]\,{\text{P}}\left( {{\text{X}} \leqslant 4} \right)

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A fail coin is tossed N times. The probability that head does not turn up in any of the tosses is

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There are 25 calculators in a box. Two of them are defective. Suppose 5 calculators are randomly picked for inspection (i.e., each has the same chance of being selected), what is the probability that only one of the defective calculators will be included in the inspection?

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A single dice is thrown twice. What is the probability that the sum is neither 8 nor 9?

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If P and Q are two random events, then the following is TRUE

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Four red balls, four green balls and four blue balls are put in a box. Three balls are pulled our of the box at random one after another without replacement. The probability that all the three balls are red is

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The chance of a student passing an exam is 20%. The chance of a student passing the exam and getting above 90% marks in it is 5%. Given that a student passes the examination, the probability that the student gets above 90% marks is

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A program consists of two modules executed sequentially. Let f1(t) and f2(t) respectively denote the probability density functions of time taken to execute the two modules. The probability density function of the overall time taken to execute the program is given by

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The random variable X takes on the values 1, 2 (or) 3 with probabilities    and  respectively the values of P and E(X) are respectively.

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There are two containers, with one containing 4 red and 3 green balls and the other containing 3 blue and 4 green balls. One ball is drawn at random from each container. The probability that one of the balls is red and the other is blue will be

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A fair coin is tossed independently four times. The probability of the event "the number of times heads show up is more than the number of times tails show up" is

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Assume that the duration in minutes of a telephone conversion follows the expo-nential distribution    The probability that the conversion will exceed five minutes is

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A fair coin is tossed three times in succession. If the first toss produces a head, then the probability of getting exactly two heads in three tosses is

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Marks obtained by 100 students in an examination are given in the table:
Sr. No. Marks obtained No. of students
    1           25           20
    2           30           20
    3           35           40
    4           40           20

What would be mean, median and mode of marks obtained by the students?

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If X is a normal variable with mean 30 and standard deviation 5, what is probability (26 ≤ X ≤ 34), given A(z = 0.8) = 0.2881?

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If f(x) and g(x) are two probability density functions,
{\text{f}}\left( {\text{x}} \right) = \left\{ {\begin{array}{*{20}{c}} {\frac{{\text{x}}}{{\text{a}}} + 1}&:&{ - {\text{a}} \leqslant {\text{x}} < 0} \\ { - \frac{{\text{x}}}{{\text{a}}} + 1}&:&{0 \leqslant {\text{x}} \leqslant {\text{a}}} \\ 0&:&{{\text{otherwise}}} \end{array}} \right.;\,\,{\text{g}}\left( {\text{x}} \right) = \left\{ {\begin{array}{*{20}{c}} { - \frac{{\text{x}}}{{\text{a}}}}&:&{ - {\text{a}} \leqslant {\text{x}} < 0} \\ {\frac{{\text{x}}}{{\text{a}}}}&:&{0 \leqslant {\text{x}} \leqslant {\text{a}}} \\ 0&:&{{\text{otherwise}}} \end{array}} \right.
Which one of the following statements is true?

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If three coins are tossed simultaneously, the probability of getting at least one head is

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Consider a random variable to which a Poisson distribution is best fitted. It happens that P(x = 1) = P(x = 2) on this distribution plot. The variance of this distribution will be

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