Probability

Which best describes a random experiment?

Throwing of an unbiased dice is an example of —

An outcome or a combination of outcomes of an experiment is called —

In tossing an unbiased coin, head and tail are —

When the occurrence of one outcome of a random experiment precludes the occurrence of the other outcomes, the events are called —

In throwing an unbiased dice, the number of favourable outcomes for getting an odd number is —

Sample space of tossing a single unbiased coin is —

Sample space of throwing an unbiased dice once is —

How many sample points are there in the sample space when two coins are tossed simultaneously?

Each element of a sample space is called a —

The probability of an event is defined as —

The probability of an event lies in the range —

The probability of a certain event is —

The probability of an impossible event is —

Which of the following is a certain event?

Which of the following is an impossible event?

The probability of getting H or T on tossing a single unbiased coin is —

The probability of getting head on a single toss of an unbiased coin is —

Consider the following statements about probability:

Consider the following statements about a sample space:

The probability of getting 5 on a single throw of an unbiased dice is —

The probability of getting an even number on a single throw of an unbiased dice is —

The probability of getting an odd number on a single throw of an unbiased dice is —

A bag contains 4 red, 5 white and 6 black balls. The probability that a randomly drawn ball is red is —

From the bag in the previous question, the probability that a randomly drawn ball is white is —

From the same bag (4 red, 5 white, 6 black), the probability of drawing a black ball is —

An unbiased dice is thrown. The probability of getting 4 is —

An unbiased dice is thrown. The probability of getting 4 or a number greater than 4 is —

An unbiased dice is thrown. The probability of getting a number less than 5 is —

A bag contains 6 black, 5 red and 8 white marbles of similar type. The probability that a randomly drawn marble is red is —

From the same bag (6 black, 5 red, 8 white marbles), the probability of drawing a black marble is —

From the same bag (6 black, 5 red, 8 white marbles), the probability of drawing a white marble is —

From the same bag (6 black, 5 red, 8 white marbles), the probability of drawing a marble that is NOT black is —

Consider the following statements about data-based probability:

As the number of trials of a random experiment is increased, the relative frequency of an event approaches —

According to meteorological records, it rained on 21 days during the month of July last year. The probability that it will rain on the fourth of July this year is —

In a survey, 65 read Prothom Alo, 40 read Bhorer Kagoj, 45 read Janakantho and 52 read Jugantor. If one person is chosen at random, the probability that he reads Jugantor is —

From the same survey of 202 readers, the probability that a randomly chosen reader does NOT read Prothom Alo is —

In a university survey: 284 took Economics, 106 took History, 253 took Sociology and 169 took English. If one student is chosen at random, the probability that the student has NOT taken Sociology is —

An event occurred in 80 of 200 trials of an experiment. The relative frequency of the event is —

The sample space when two unbiased coins are tossed simultaneously is —

Two unbiased coins are tossed together. The probability of getting H on the first coin and T on the second coin, $P(HT)$, is —

An unbiased coin is tossed three times. The total number of sample points is —

An unbiased coin is tossed three times. The probability of getting just one tail is —

An unbiased coin is tossed three times. The probability of getting head in all three tossings is —

An unbiased coin is tossed three times. The probability of getting at least one tail is —

An unbiased coin is tossed three times. The probability of getting the same outcome in all three tossings is —

An unbiased coin is tossed three times. The probability of getting at least 2 tails is —

An unbiased dice and an unbiased coin are thrown together. The total number of sample points is —

An unbiased dice and an unbiased coin are thrown together. The probability of getting 5 on the dice and H on the coin is —

Using a probability tree, if the probability of event A is $\frac{2}{5}$ and after A occurs the probability of event B is $\frac{1}{3}$, then the probability of A and then B is —

If an unbiased coin is tossed $n$ times, the total number of possible events is —

Thirty tickets are numbered serially from 1 to 30. One ticket is drawn at random. The probability that its serial number is an even number is —

From the same 30 tickets, the probability that the drawn ticket's serial number is divisible by 4 is —

From the same 30 tickets, the probability that the serial number is less than 4 is —

From the same 30 tickets, the probability that the serial number is greater than 22 is —

In a lottery, 570 tickets have been sold. Rahim has bought 15 tickets. The probability that Rahim wins the first prize is —

According to a health centre's report, 155 babies were born underweight, 386 with normal weight and 98 overweight. One baby is chosen at random. The probability that the baby is overweight is —

A factory has 157 managerial, 52 inspection, 1473 production and 215 office-work employees. A person is chosen at random. The probability that he is involved in management duty is —

From the same factory data, the probability that the person is involved in managerial OR production duty is —

From the same factory data, the probability that the person is NOT involved in production duty is —

Out of 2000 newly licensed drivers, 1910 violated traffic rules 0 times, 46 once, 18 twice, 12 thrice, 9 four times and 5 more than 4 times. The probability that a randomly chosen driver violated traffic rules once is —

From the same data of 2000 drivers, the probability that a randomly chosen driver violated traffic rules more than 4 times is —

For a single tossing of an unbiased coin, $P(T)$ is —

For two tossings of an unbiased coin, the probability of getting exactly one head, $P(1H)$, is —

For two tossings of an unbiased coin, $P(HT)$ where the order is H then T, is —

For three tossings of an unbiased coin, $P(HHT)$ where the order is H, H, T, is —

For three tossings of an unbiased coin, the probability of getting exactly 2 heads, $P(2H)$, is —

A two-taka coin (sides L and C) is tossed twice. The probability of getting at least one L is —

The same coin is tossed twice. The probability of NOT getting a C is —

Which is the probability of getting 3 in a throw of a dice?

In the case of throwing two coins —

A ball is drawn at random from a bag containing 12 blue, 16 white and 20 black balls. What is the probability that the ball is blue?

From the same bag (12 blue, 16 white, 20 black), what is the probability that the ball is NOT white?

The probability of getting an even number or a number divisible by 3 in a single throw of a dice is —

An unbiased coin is tossed three times. The probability that the three coins will yield a maximum of 2T is —

An unbiased dice and a coin are tossed once. The probability that the dice yields a 5 and the coin yields a head is —

Twenty tickets are numbered from 1 to 20 and one is drawn at random. The probability that its serial number is a divisor of 20 is —

A basket contains 8 red, 10 white and 7 black marbles. A marble is chosen at random. The probability that the marble is red is —

From the same basket (8 red, 10 white, 7 black), the probability that the chosen marble is NOT white is —

From the same basket (8 red, 10 white, 7 black), four marbles are picked one by one without replacement. The probability that all four marbles are white is —

For any event $A$, consider the following statements: