Test: Theoretical Distributions- 1


40 Questions MCQ Test Quantitative Aptitude for CA CPT | Test: Theoretical Distributions- 1


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This mock test of Test: Theoretical Distributions- 1 for CA Foundation helps you for every CA Foundation entrance exam. This contains 40 Multiple Choice Questions for CA Foundation Test: Theoretical Distributions- 1 (mcq) to study with solutions a complete question bank. The solved questions answers in this Test: Theoretical Distributions- 1 quiz give you a good mix of easy questions and tough questions. CA Foundation students definitely take this Test: Theoretical Distributions- 1 exercise for a better result in the exam. You can find other Test: Theoretical Distributions- 1 extra questions, long questions & short questions for CA Foundation on EduRev as well by searching above.
QUESTION: 1

(Direction 1 - 40) Write down the correct answers. Each question carries 1 mark.

Q. A theoretical probability distribution. 

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QUESTION: 2

Probability distribution may be

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QUESTION: 3

An important discrete probability distribution is

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QUESTION: 4

An important continuous probability distribution

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QUESTION: 5

Parameter is a characteristic of

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QUESTION: 6

An example of a parameter is

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QUESTION: 7

A trial is an attempt to

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QUESTION: 8

The important characteristic(s) of Bernoulli trials

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QUESTION: 9

The probability mass function of binomial distribution is given by

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QUESTION: 10

If x is a binomial variable with parameters n and p, then x can assume

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QUESTION: 11

A binomial distribution is

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QUESTION: 12

The mean of a binomial distribution with parameter n and p is

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QUESTION: 13

The variance of a binomial distribution with parameters n and p is

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QUESTION: 14

An example of a bi-parametric discrete probability distribution is

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QUESTION: 15

For a binomial distribution, mean and mode

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QUESTION: 16

The mean of binomial distribution is

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QUESTION: 17

For a binomial distribution, there may be

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QUESTION: 18

The maximum value of the variance of a binomial distribution with parameters n and p is

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QUESTION: 19

The method usually applied for fitting a binomial distribution is known as

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QUESTION: 20

Which one is not a condition of Poisson model?

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QUESTION: 21

Which one is uniparametric distribution?

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QUESTION: 22

For a Poisson distribution,

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QUESTION: 23

Poisson distribution may be

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QUESTION: 24

Poisson distribution is

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QUESTION: 25

A binomial distribution with parameters m and p can be approximated by a Poisson distribution with parameter m = np is

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QUESTION: 26

For Poisson fitting to an observed frequency distribution,

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QUESTION: 27

The most important continuous probability distribution is known as

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QUESTION: 28

The probability density function of a normal variable x is given by

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QUESTION: 29

The total area of the normal curve is

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QUESTION: 30

The normal curve is

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QUESTION: 31

The normal curve is

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QUESTION: 32

Area of the normal curve is

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QUESTION: 33

The cumulative distribution function of a random variable X is given by

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QUESTION: 34

The mean and mode of a normal distribution

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QUESTION: 35

The mean deviation about median of a standard normal variate is

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QUESTION: 36

The quartile deviation of a normal distribution with mean 10 and SD 4 is

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QUESTION: 37

For a standard normal distribution, the points of inflexion are given by

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QUESTION: 38

The symbol φ (a) indicates the area of the standard normal curve between

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QUESTION: 39

The interval (µ - 3σ, µ + 3σ) covers

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QUESTION: 40

Number of misprints per page of a thick book follows

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