Question 1 |

Consider a random experiment where two fair coins are tossed. Let A be the event
that denotes HEAD on both the throws, B be the event that denotes HEAD on
the first throw, and C be the event that denotes HEAD on the second throw.
Which of the following statements is/are TRUE?

A and B are independent. | |

A and C are independent. | |

B and C are independent. | |

Prob(B|C) = Prob(B) |

Question 1 Explanation:

Question 2 |

A bag has r red balls and b black balls. All balls are identical except for their colours. In a trial, a ball is randomly drawn from the bag, its colour is noted and the ball is placed back into the bag along with another ball of the same colour. Note that the number of balls in the bag will increase by one, after the trial. A sequence of four such trials is conducted. Which one of the following choices gives the probability of drawing a red ball in the fourth trial?

\dfrac{r}{r+b} | |

\dfrac{r}{r+b+3} | |

\dfrac{r+3}{r+b+3} | |

\left( \dfrac{r}{r+b} \right) \left ( \dfrac{r+1}{r+b+1} \right) \left( \dfrac{r+2}{r+b+2} \right) \left( \dfrac{r+3}{r+b+3} \right) |

Question 2 Explanation:

Question 3 |

In an examination, a student can choose the order in which two questions (QuesA and QuesB) must be attempted.

If the first question is answered wrong, the student gets zero marks.

If the first question is answered correctly and the second question is not answered correctly, the student gets the marks only for the first question.

If both the questions are answered correctly, the student gets the sum of the marks of the two questions.

The following table shows the probability of correctly answering a question and the marks of the question respectively.

\begin{array}{c|c|c} \text{question} & \text{probabiloty of answering correctly} & \text{marks} \\ \hline \textsf{QuesA} & 0.8 & 10 \\ \textsf{QuesB} & 0.5 & 20 \end{array}

Assuming that the student always wants to maximize her expected marks in the examination, in which order should she attempt the questions and what is the expected marks for that order (assume that the questions are independent)?

If the first question is answered wrong, the student gets zero marks.

If the first question is answered correctly and the second question is not answered correctly, the student gets the marks only for the first question.

If both the questions are answered correctly, the student gets the sum of the marks of the two questions.

The following table shows the probability of correctly answering a question and the marks of the question respectively.

\begin{array}{c|c|c} \text{question} & \text{probabiloty of answering correctly} & \text{marks} \\ \hline \textsf{QuesA} & 0.8 & 10 \\ \textsf{QuesB} & 0.5 & 20 \end{array}

Assuming that the student always wants to maximize her expected marks in the examination, in which order should she attempt the questions and what is the expected marks for that order (assume that the questions are independent)?

First QuesA and then QuesB. Expected marks 14. | |

First QuesB and then QuesA. Expected marks 14. | |

First QuesB and then QuesA. Expected marks 22. | |

First QuesA and then QuesB. Expected marks 16. |

Question 3 Explanation:

Question 4 |

For a given biased coin, the probability that the outcome of a toss is a head is 0.4. This coin is tossed 1,000 times. Let X denote the random variable whose value is the number of times that head appeared in these 1,000 tosses. The standard deviation of X (rounded to 2 decimal place) is ________

21.8 | |

15.5 | |

8.2 | |

28.4 |

Question 4 Explanation:

Question 5 |

A sender (S) transmits a signal, which can be one of the two kinds: H and L with probabilities 0.1 and 0.9 respectively, to a receiver (R)

In the graph below, the weight of edge (u,v) is the probability of receiving v when u is transmitted, where u,v\in\{H,L\}. For example, the probability that the received signal is L given the transmitted signal was H, is 0.7.

If the received signal is H, the probability that the transmitted signal was H (rounded to 2 decimal places) is __________.

In the graph below, the weight of edge (u,v) is the probability of receiving v when u is transmitted, where u,v\in\{H,L\}. For example, the probability that the received signal is L given the transmitted signal was H, is 0.7.

If the received signal is H, the probability that the transmitted signal was H (rounded to 2 decimal places) is __________.

0.02 | |

0.08 | |

0.04 | |

0.01 |

Question 5 Explanation:

There are 5 questions to complete.

There are some previous years questions that are missing in the Probability Theory. As an example, there is a question from GATE 2013 which is not here. GATEOverflow Link: https://gateoverflow.in/1535/gate2013-24

Thank You Pritha for your concern.

We have added this question in Grapth Theory topic.

Link of that Question -30 https://practicepaper.in/gate-cse/graph-theory?page_no=3