I.Com Part 1 Statistics chapter 8 Short Question Preparation

11th Class Statistics Chapter 8

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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 8 "ICom Part 1 Statistics Chapter 8 Short Questions Preparation "

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Statistics - ICom Part 1 Statistics Chapter 8 Short Questions Preparation

Question # 1

Define probability density function.

Ans 1: The probability density function of a continuous random variable x is specified by a curve such that the total area under the cause is 1.0.

Question # 2

How would represent the continuous probabiliyt distribution.

Ans 1: The probability distribution of a vontinuous random variable cannot be represented in tabular form. It can be represented by means of a mathematical formula and by a graph displayed as a continuous curve.

Question # 3

Write down the propeties of a random experiment.

Ans 1: 1- Experiments in which outcomes vary from trial to trial
Ans 2: 2- Triials are independent

Question # 4

Define probability distribution for a discrete random variable.

Ans 1: Probability distribution of a discrete random variable is a table consisting of all possible values with their respective probabilities.

Question # 5

What is meant by probability distribution?

Ans 1: An arrangement of all possible values of a continuous random variable x is specified by a curve such that the total area under the cause is 1.0.

Question # 6

How the distribution function is represented graphically in the discrete and continuous case.

Ans 1: Teh distribution function of a discrete random variable is represneted by a step function, While for the continuous random variable. It is represented by a courve. In both cases, It incrrease from 0 to 1

Question # 7

What does P.d.f stands for.

Ans 1: P.d.f stands for probability density function of a continuous random variable.

Question # 8

What do you know mean by expected value.

Ans 1: Let x be a random number variable with probability function ,The mathematical expectation of the discrete random variable x donated by E(x) is defined by
E(x)=x.p(x)

Question # 9

Define continuous random variable.

Ans 1: A random variable whihc takes on an infinite number of values on a continuous scale in a given interval is called a continuous random variable for example, the distance travelled by a car between two locations is a continuous random variable. it may assume any of the values int he interval (a,b)

Question # 10

How can random numbers be generated.

Ans 1: Random numbers can be generated manually as well as mechanically Random numbers can be generated manually by drawing cards from numbered cards or by spinning numbered wheels. These numbers can be genereated mechanically by use of programmable calculators or digital computers.

Submit

Prepare Complete Set Wise Questions For Chapter 8 "ICom Part 1 Statistics Chapter 8 Short Questions Preparation "

Set 1

10 Questions
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ICom Part 1 Statistics Chapter 8 Short Questions Preparation - Set 1

Question # 1

Define probability density function.

Ans 1: The probability density function of a continuous random variable x is specified by a curve such that the total area under the cause is 1.0.

Question # 2

How would represent the continuous probabiliyt distribution.

Ans 1: The probability distribution of a vontinuous random variable cannot be represented in tabular form. It can be represented by means of a mathematical formula and by a graph displayed as a continuous curve.

Question # 3

Write down the propeties of a random experiment.

Ans 1: 1- Experiments in which outcomes vary from trial to trial
Ans 2: 2- Triials are independent

Question # 4

Define probability distribution for a discrete random variable.

Ans 1: Probability distribution of a discrete random variable is a table consisting of all possible values with their respective probabilities.

Question # 5

What is meant by probability distribution?

Ans 1: An arrangement of all possible values of a continuous random variable x is specified by a curve such that the total area under the cause is 1.0.

Question # 6

How the distribution function is represented graphically in the discrete and continuous case.

Ans 1: Teh distribution function of a discrete random variable is represneted by a step function, While for the continuous random variable. It is represented by a courve. In both cases, It incrrease from 0 to 1

Question # 7

What does P.d.f stands for.

Ans 1: P.d.f stands for probability density function of a continuous random variable.

Question # 8

What do you know mean by expected value.

Ans 1: Let x be a random number variable with probability function ,The mathematical expectation of the discrete random variable x donated by E(x) is defined by
E(x)=x.p(x)

Question # 9

Define continuous random variable.

Ans 1: A random variable whihc takes on an infinite number of values on a continuous scale in a given interval is called a continuous random variable for example, the distance travelled by a car between two locations is a continuous random variable. it may assume any of the values int he interval (a,b)

Question # 10

How can random numbers be generated.

Ans 1: Random numbers can be generated manually as well as mechanically Random numbers can be generated manually by drawing cards from numbered cards or by spinning numbered wheels. These numbers can be genereated mechanically by use of programmable calculators or digital computers.

Submit

11th Class Statistics Chapter 8 Preparation

Short Questions
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I.Com Part 1 Statistics chapter 8 Short Question Preparation

11th Class Statistics Chapter 8

11th Class Statistics Chapter Wise Preparation

Online Short Questions For Chapter 8 "ICom Part 1 Statistics Chapter 8 Short Questions Preparation "

Statistics - ICom Part 1 Statistics Chapter 8 Short Questions Preparation

Define probability density function.

How would represent the continuous probabiliyt distribution.

Write down the propeties of a random experiment.

Define probability distribution for a discrete random variable.

What is meant by probability distribution?

How the distribution function is represented graphically in the discrete and continuous case.

What does P.d.f stands for.

What do you know mean by expected value.

Define continuous random variable.

How can random numbers be generated.

Prepare Complete Set Wise Questions For Chapter 8 "ICom Part 1 Statistics Chapter 8 Short Questions Preparation "

Set 1

ICom Part 1 Statistics Chapter 8 Short Questions Preparation - Set 1

Define probability density function.

How would represent the continuous probabiliyt distribution.

Write down the propeties of a random experiment.

Define probability distribution for a discrete random variable.

What is meant by probability distribution?

How the distribution function is represented graphically in the discrete and continuous case.

What does P.d.f stands for.

What do you know mean by expected value.

Define continuous random variable.

How can random numbers be generated.

11th Class Statistics Chapter 8 Preparation

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