I.Com Part 1 Statistics chapter 7 Short Question Preparation

11th Class Statistics Chapter 7

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11th Class Statistics Chapter Wise Preparation

Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9

Online Short Questions For Chapter 7 "ICom Part 1 Statistics Chapter 7 Short Questions Preparation "

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Statistics - ICom Part 1 Statistics Chapter 7 Short Questions Preparation

Question # 1

Write down the application of random number.

Ans 1: The random number have wide application in the simulation techniques which have been applied to many problems where direct experimentation is not possible ,or the experiment takes so much time.

Question # 2

What is a sample point.

Ans 1: Each element of a sample space is called a soample point For example when we toss a coin, the sample space is S = { H,T} and each of the elements H (head) and T (tail) is a sample point.

Question # 3

What are random numbers?

Ans 1: Random numbers are a sequence of digits from the set {0,1,2,3...9}so that each digit has the same probability of being selected.

Question # 4

What is the sample spaces.

Ans 1: the set or collection of possible outcomes of an expeirment ins called this simple space.It is denoted by S.

Question # 5

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

Ans 1: If H and T stand for head and tail respectively, then the sample space S is.
Ans 2: S={ HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}
A = {HHT, HTH, THH} is the required event.

Question # 6

What is the probability of getting at least one tail in three tosses of a coin.

Ans 1: There is only one case in whihc no tails occur, namely HHH. Hence teh requeed probability is given by.
Ans 2: P(at least one tail) = 1 - P(HHH) = 1 - 1/8 = 3/8

Question # 7

State teh classical or a priori definition of probability.

Ans 1: The probability of an event A is the numebr of outcomes favourable to the occurrence of A divided by the totla numebr of possible outcomes.

Question # 8

Define a discrete random variable with example.

Ans 1: A random variable is called discrete if the set of values it takes is a collection of isolated point on a real line.No of heads when we toss a coin is the example for discrete random variable.

Question # 9

What is the sample space of random variable.

Ans 1: Sample space is a set of all possible values of a random variable.

Question # 10

Find the minimum and maximum sum of dosts when a pair of dice is rolled.

Ans 1: 2 is minimum sum on two dice
Ans 2: 12 is maximum sunm on two dice

Submit

Prepare Complete Set Wise Questions For Chapter 7 "ICom Part 1 Statistics Chapter 7 Short Questions Preparation "

Set 1

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Set 2

10 Questions
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Set 3

10 Questions
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ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 1

Question # 1

Write down the application of random number.

Ans 1: The random number have wide application in the simulation techniques which have been applied to many problems where direct experimentation is not possible ,or the experiment takes so much time.

Question # 2

What is a sample point.

Ans 1: Each element of a sample space is called a soample point For example when we toss a coin, the sample space is S = { H,T} and each of the elements H (head) and T (tail) is a sample point.

Question # 3

What are random numbers?

Ans 1: Random numbers are a sequence of digits from the set {0,1,2,3...9}so that each digit has the same probability of being selected.

Question # 4

What is the sample spaces.

Ans 1: the set or collection of possible outcomes of an expeirment ins called this simple space.It is denoted by S.

Question # 5

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

Ans 1: If H and T stand for head and tail respectively, then the sample space S is.
Ans 2: S={ HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}
A = {HHT, HTH, THH} is the required event.

Question # 6

What is the probability of getting at least one tail in three tosses of a coin.

Ans 1: There is only one case in whihc no tails occur, namely HHH. Hence teh requeed probability is given by.
Ans 2: P(at least one tail) = 1 - P(HHH) = 1 - 1/8 = 3/8

Question # 7

State teh classical or a priori definition of probability.

Ans 1: The probability of an event A is the numebr of outcomes favourable to the occurrence of A divided by the totla numebr of possible outcomes.

Question # 8

Define a discrete random variable with example.

Ans 1: A random variable is called discrete if the set of values it takes is a collection of isolated point on a real line.No of heads when we toss a coin is the example for discrete random variable.

Question # 9

What is the sample space of random variable.

Ans 1: Sample space is a set of all possible values of a random variable.

Question # 10

Find the minimum and maximum sum of dosts when a pair of dice is rolled.

Ans 1: 2 is minimum sum on two dice
Ans 2: 12 is maximum sunm on two dice

Submit

ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 2

Question # 1

What is the sample spaces.

Ans 1: the set or collection of possible outcomes of an expeirment ins called this simple space.It is denoted by S.

Question # 2

Distinguish between joint probability and marginal probability.

Ans 1: The joint probability, denoted by P (AB) or P( A ^ B), is the probability that both A and B will occur. The marginal probability P(A) is the probability that A will occur, whether or not B happens.

Question # 3

State the properteis of a random experiment.

Ans 1: a random experiment has two properties in common, Firatly, each experiment has several possible outcomes which can be discribed in advance . For example in tossing a coin, the possible outcomes are head and tail.

Question # 4

When does prababiliyt becomes negative.

Ans 1: Teh prbability cannnot be negative for ever.

Question # 5

State the difference between simple and compound events.

Ans 1: When an event consist of only one sample point or outcome, it is called a simple or elementary event.

Question # 6

Waht is difference between an outcome and an event.

Ans 1: An outcome is a particular result of an experiment, whereas an event is the collection of one or more outcomes of an experiment.

Question # 7

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

Ans 1: If H and T stand for head and tail respectively, then the sample space S is.
Ans 2: S={ HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}
A = {HHT, HTH, THH} is the required event.

Question # 8

Define mutually exclusive eents.

Ans 1: Two events A and B are said to be mutually exclusive if the event A occurs, B connnot occur or vice verse,. That is , they cannot both occcur at the same time.

Question # 9

What is a sample point.

Ans 1: Each element of a sample space is called a soample point For example when we toss a coin, the sample space is S = { H,T} and each of the elements H (head) and T (tail) is a sample point.

Question # 10

What is a random expreiment.

Ans 1: A random experiment is a process which generates raw data, for example, tossing a coin rolling a die and drawing a ball from a bag containing balls of different colours are random experiments.

Submit

ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 3

Question # 1

Waht is difference between an outcome and an event.

Ans 1: An outcome is a particular result of an experiment, whereas an event is the collection of one or more outcomes of an experiment.

Question # 2

What is the sample space of random variable.

Ans 1: Sample space is a set of all possible values of a random variable.

Question # 3

What is the probability that in selecting two cards one at a time from a deck with replacement, the second card is a face card givne that the first card was red.

Ans 1: A red card on the first draw and a face card on the second draw with replacement are independent events.
Ans 2: P(face card 1 red rard) = P (face card ) = 12/52 = 3/13

Question # 4

What is the probability of getting at least one tail in three tosses of a coin.

Ans 1: There is only one case in whihc no tails occur, namely HHH. Hence teh requeed probability is given by.
Ans 2: P(at least one tail) = 1 - P(HHH) = 1 - 1/8 = 3/8

Question # 5

What is conditional probability

Ans 1: The conditional probability of A given B, denoted by P(A/B), is the probability that A will occur given that B has occurred.

Question # 6

State teh classical or a priori definition of probability.

Ans 1: The probability of an event A is the numebr of outcomes favourable to the occurrence of A divided by the totla numebr of possible outcomes.

Question # 7

What is the sample spaces.

Ans 1: the set or collection of possible outcomes of an expeirment ins called this simple space.It is denoted by S.

Question # 8

What is a sample point.

Ans 1: Each element of a sample space is called a soample point For example when we toss a coin, the sample space is S = { H,T} and each of the elements H (head) and T (tail) is a sample point.

Question # 9

What are random numbers?

Ans 1: Random numbers are a sequence of digits from the set {0,1,2,3...9}so that each digit has the same probability of being selected.

Question # 10

Define a discrete random variable with example.

Ans 1: A random variable is called discrete if the set of values it takes is a collection of isolated point on a real line.No of heads when we toss a coin is the example for discrete random variable.

Submit

11th Class Statistics Chapter 7 Preparation

Short Questions
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I.Com Part 1 Statistics chapter 7 Short Question Preparation

11th Class Statistics Chapter 7

11th Class Statistics Chapter Wise Preparation

Online Short Questions For Chapter 7 "ICom Part 1 Statistics Chapter 7 Short Questions Preparation "

Statistics - ICom Part 1 Statistics Chapter 7 Short Questions Preparation

Write down the application of random number.

What is a sample point.

What are random numbers?

What is the sample spaces.

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

What is the probability of getting at least one tail in three tosses of a coin.

State teh classical or a priori definition of probability.

Define a discrete random variable with example.

What is the sample space of random variable.

Find the minimum and maximum sum of dosts when a pair of dice is rolled.

Prepare Complete Set Wise Questions For Chapter 7 "ICom Part 1 Statistics Chapter 7 Short Questions Preparation "

Set 1

Set 2

Set 3

ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 1

Write down the application of random number.

What is a sample point.

What are random numbers?

What is the sample spaces.

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

What is the probability of getting at least one tail in three tosses of a coin.

State teh classical or a priori definition of probability.

Define a discrete random variable with example.

What is the sample space of random variable.

Find the minimum and maximum sum of dosts when a pair of dice is rolled.

ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 2

What is the sample spaces.

Distinguish between joint probability and marginal probability.

State the properteis of a random experiment.

When does prababiliyt becomes negative.

State the difference between simple and compound events.

Waht is difference between an outcome and an event.

What is the sample space when three distinct coins are tossed simulataneously. Also specify the event A exactly two heads occur.

Define mutually exclusive eents.

What is a sample point.

What is a random expreiment.

ICom Part 1 Statistics Chapter 7 Short Questions Preparation - Set 3

Waht is difference between an outcome and an event.

What is the sample space of random variable.

What is the probability that in selecting two cards one at a time from a deck with replacement, the second card is a face card givne that the first card was red.

What is the probability of getting at least one tail in three tosses of a coin.

What is conditional probability

State teh classical or a priori definition of probability.

What is the sample spaces.

What is a sample point.

What are random numbers?

Define a discrete random variable with example.

11th Class Statistics Chapter 7 Preparation

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